{"id":13,"date":"2019-04-19T15:16:56","date_gmt":"2019-04-19T06:16:56","guid":{"rendered":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/?page_id=13"},"modified":"2023-05-19T21:58:21","modified_gmt":"2023-05-19T12:58:21","slug":"publications","status":"publish","type":"page","link":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/index.php\/publications\/","title":{"rendered":"\u696d\u7e3e"},"content":{"rendered":"<p><a href=\"#jp2019\">2019\u5e74<\/a>\u3000<a href=\"#jp2020\">2020\u5e74<\/a>\u3000<a href=\"#jp2021\">2021\u5e74<\/a>\u3000<a href=\"#jp2022\">2022\u5e74<\/a>\u3000<a href=\"#jp2023\">2023\u5e74<\/a><\/p>\r\n<h4><a id=\"jp2023\"><\/a>2023\u5e74<\/h4>\r\n<h5>\u8ad6\u6587<\/h5>\r\n<ul>\r\n<li>Yuji Kawai, Jihoon Park, Ichiro Tsuda, and Minoru Asada. 2023. \u201cLearning Long-Term Motor Timing\/Patterns on an Orthogonal Basis in Random Neural Networks.\u201d <i>Neural Networks<\/i> 163 (June): 298\u2013311. <a style=\"background-color: #ffffff;\" href=\"https:\/\/doi.org\/10.1016\/j.neunet.2023.04.006\">https:\/\/doi.org\/10.1016\/j.neunet.2023.04.006<\/a>.<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u8a31\u9db4\u99a8, Amit Yaron, \u767d\u677e\uff08\u78ef\u53e3\uff09\u77e5\u4e16, \u9ad8\u6a4b\u5b8f\u77e5. 2023. \u201cCommon Mechanism Underlying Multimodal Integration.\u201d \u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a MBE23 (029): 77\u201382.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u9ad8\u91ce\u96c4\u57fa, \u79cb\u7530\u5927, \u8acf\u8a2a\u745b\u4ecb, \u9ad8\u6a4b\u5b8f\u77e5. 2023. \u201c\u81ea\u7531\u30a8\u30cd\u30eb\u30ae\u30fc\u539f\u7406\u306b\u57fa\u3065\u304f\u57f9\u990a\u795e\u7d4c\u7d30\u80de\u306b\u3088\u308b\u7121\u610f\u8b58\u7684\u63a8\u8ad6.\u201d \u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a MBE23 (020): 23\u201327.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u9ad8\u6728\u6c38\u9060, \u5927\u5cf6\u679c\u6797, \u767d\u677e\u77e5\u4e16, \u9ad8\u6a4b\u5b8f\u77e5. 2023. \u201c\u97f3\u74b0\u5883\u306b\u4f9d\u5b58\u3057\u305f\u3052\u3063\u6b6f\u985e\u306e\u8d85\u97f3\u6ce2\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3.\u201d \u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a MBE23 (019): 17\u201322.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u91d1\u4e95\u667a\u7f8e, \u53ef\u90e8\u6cf0\u751f, \u68ee\u672c\u9686\u53f8, \u9ad8\u6a4b\u5b8f\u77e5. 2023. \u201c\u65e5\u5e38\u4f7f\u7528\u306b\u9069\u3057\u305f\u4ed6\u899a\u7684\u8074\u529b\u691c\u67fb\u624b\u6cd5\u306e\u63d0\u6848.\u201d \u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a MBE23 (039): 123\u201328.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u8acf\u8a2a\u745b\u4ecb, \u79cb\u7530\u5927, \u6c60\u7530\u6210\u6e80, \u9ad8\u91ce\u96c4\u57fa, \u9ad8\u6a4b\u5b8f\u77e5. 2023. \u201c\u795e\u7d4c\u7d30\u80de\u306e\u5206\u6563\u57f9\u990a\u7cfb\u306b\u3088\u308b\u81e8\u754c\u7684\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u8a08\u7b97.\u201d \u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a MBE23 (034): 97\u2013102.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u77f3\u7530\u76f4\u8f1d, \u767d\u677e(\u78ef\u53e3)\u77e5\u4e16, \u9ad8\u6a4b\u5b8f\u77e5. 2023. \u201c\u30e9\u30c3\u30c8\u8074\u899a\u91ce\u306e\u60c5\u5831\u51e6\u7406\u5bb9\u91cf\u306b\u5bfe\u3059\u308b\u97f3\u697d\u66dd\u9732\u306e\u52b9\u679c.\u201d \u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a MBE23 (024): 47\u201352.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Seiichi Bun, Tomoyo I. Shiramatsu, Hirokazu Takahashi, and Tetsuya Asai. 2023. \u201cActive Charge Balancer towards CMOS Integration of an Array of Neural Stimulators.\u201d <i>Nonlinear Theory and Its Applications, IEICE<\/i> 14 (2).<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\u6d45\u7530\u7a14. 2023. \u201c\u30ed\u30dc\u30c3\u30c8\u5b78\u306e\u5275\u6210\u3068\u793e\u4f1a\u5de5\u5b66\u3068\u3057\u3066\u306e\u30ed\u30dc\u30c3\u30c8\u5de5\u5b66.\u201d \u79d1\u5b66 93 (1): 18\u201325.<\/li>\r\n<\/ul>\r\n<h5>\u67fb\u8aad\u4ed8\u304d\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<h5>\u67fb\u8aad\u306a\u3057\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u6cb3\u5408\u7950\u53f8, \u71b1\u7530\u6d0b\u53f2, \u6d45\u7530\u7a14. 2023. \u201c\u30e2\u30b8\u30e5\u30fc\u30eb\u578b\u30ec\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u3092\u7528\u3044\u305f\u30ed\u30dc\u30c3\u30c8\u30a2\u30fc\u30e0\u306e\u9069\u5fdc\u7684\u306a\u8ecc\u9053\u5236\u5fa1.\u201d In \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a, NC1-17. \u516c\u7acb\u306f\u3053\u3060\u3066\u672a\u6765\u5927\u5b66. <span style=\"color: #ff0000;\">IEEE Computational Intelligence Society Japan Chapter Young Researcher Award<\/span><\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u6e4a\u5b8f\u592a\u90ce, \u9999\u53d6\u52c7\u4e00. 2023. \u201c\u30ec\u30b6\u30d0\u30fc\u30a2\u30af\u30bf\u30fc\u30af\u30ea\u30c6\u30a3\u30c3\u30af\u30e2\u30c7\u30eb\u306b\u3088\u308b\u30ed\u30dc\u30c3\u30c8\u306e\u9023\u7d9a\u5024\u5236\u5fa1.\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a; \u4fe1\u5b66\u6280\u5831, NC\u7814\u7a76\u4f1a, 122 (374): 118\u201322.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Hiroshi Atsuta, Yuji Kawai, and Minoru Asada. 2023. \u201cSmall Sample Learning of Reaching Movements of a Redundant Robotic Arm with an Echo State Network.\u201d In <i>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0 \u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72023<\/i>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yuji Kawai, Jihoon Park, Ichiro Tsuda, and Minoru Asada. 2023. \u201cSmall Random Neural Networks Orthogonally Oscillate to Learn Long-Term Motor Timing\/Patterns.\u201d In <i>\u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0 \u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d72023<\/i>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Soichiro Yamakawa, Kota Ando, Megumi Akai-Kasaya, and Tetsuya Asai. 2023. \u201cDesign and Evaluation of Brain-Computer Communication Devices Using Divergence Properties of Non-Linear Dynamical Systems.\u201d In <i>The 9th Japan-Korea Joint Workshop on Complex Communication Sciences 2022<\/i>. Gyeong Ju, Korea.<\/div>\r\n<\/div>\r\n<\/li>\r\n<\/ul>\r\n<h5>\u62db\u5f85\u8b1b\u6f14<\/h5>\r\n<h5>\u30d7\u30ec\u30b9\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\u4e2d\u5d8b\u6d69\u5e73\uff0c&#8221;\u7269\u7406\u6df1\u5c64\u5b66\u7fd2\u306e\u305f\u3081\u306e\u65b0\u305f\u306a\u8133\u578b\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u958b\u767a \uff5e\u65b0\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u5149\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u308b\u9ad8\u901f\u306a\u6df1\u5c64\u5b66\u7fd2\u3092\u5b9f\u8a3c\uff5e&#8221;\uff0c2023\u5e741\u670810\u65e5\uff0c<a href=\"https:\/\/www.i.u-tokyo.ac.jp\/news\/press\/2023\/202301102164.shtml\">https:\/\/www.i.u-tokyo.ac.jp\/news\/press\/2023\/202301102164.shtml<\/a><\/li>\r\n<li>\u4e2d\u5d8b\u6d69\u5e73\uff0c&#8221;\u751f\u614b\u7cfb\u3092\u5229\u7528\u3057\u305f\u5168\u304f\u65b0\u3057\u3044AI \uff5e\u9ad8\u3044\u751f\u7269\u591a\u69d8\u6027\u306f\u9ad8\u3044\u8a08\u7b97\u80fd\u529b\u306b\u7e4b\u304c\u308b\uff1f\uff5e&#8221;\uff0c2023\u5e744\u670819\u65e5\uff0c<a href=\"https:\/\/www.i.u-tokyo.ac.jp\/news\/press\/2023\/202304192211.shtml\">https:\/\/www.i.u-tokyo.ac.jp\/news\/press\/2023\/202304192211.shtml<\/a><\/li>\r\n<\/ul>\r\n<h4><a id=\"jp2022\"><\/a>2022\u5e74<\/h4>\r\n<h5>\u8ad6\u6587<\/h5>\r\n<ul>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Mitsumasa Nakajima, Katsuma Inoue, Kenji Tanaka, Yasuo Kuniyoshi, Toshikazu Hashimoto, and Kohei Nakajima. 2022. \u201cPhysical Deep Learning with Biologically Inspired Training Method: Gradient-Free Approach for Physical Hardware.\u201d <i>Nature Communications<\/i> 13 (1): 7847. <a href=\"https:\/\/doi.org\/10.1038\/s41467-022-35216-2\">https:\/\/doi.org\/10.1038\/s41467-022-35216-2<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yusuke Imai, Kohei Nakajima, Sumito Tsunegi, and Tomohiro Taniguchi. 2022. \u201cInput-Driven Chaotic Dynamics in Vortex Spin-Torque Oscillator.\u201d <i>Scientific Reports<\/i> 12 (1): 21651. <a href=\"https:\/\/doi.org\/10.1038\/s41598-022-26018-z\">https:\/\/doi.org\/10.1038\/s41598-022-26018-z<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yoshiki Ito, Tomoyo Isoguchi Shiramatsu, Naoki Ishida, Karin Oshima, Kaho Magami, and Hirokazu Takahashi. 2022. \u201cSpontaneous Beat Synchronization in Rats: Neural Dynamics and Motor Entrainment.\u201d <i>Science Advances<\/i> 8 (45): eabo7019. <a href=\"https:\/\/doi.org\/10.1126\/sciadv.abo7019\">https:\/\/doi.org\/10.1126\/sciadv.abo7019<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Kazutoshi Tanaka, Yuna Minami, Yuji Tokudome, Katsuma Inoue, Yasuo Kuniyoshi, and Kohei Nakajima. 2022. \u201cContinuum-Body-Pose Estimation From Partial Sensor Information Using Recurrent Neural Networks.\u201d <i>IEEE Robotics and Automation Letters<\/i> 7 (4): 11244\u201351. <a href=\"https:\/\/doi.org\/10.1109\/LRA.2022.3199034\">https:\/\/doi.org\/10.1109\/LRA.2022.3199034<\/a>.<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Ninnart Fuengfusin, and Hakaru Tamukoh. 2022. \u201cINT8 Activation Ternary or Binary Weights Networks: Unifying Between INT8 and Lower-Bit Width Quantization.\u201d <i>Journal of Robotics, Networking and Artificial Life<\/i> 9 (2): 171\u201376. <a href=\"https:\/\/doi.org\/10.57417\/jrnal.9.2_171\">https:\/\/doi.org\/10.57417\/jrnal.9.2_171<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Nozomi Akashi, Yasuo Kuniyoshi, Sumito Tsunegi, Tomohiro Taniguchi, Mitsuhiro Nishida, Ryo Sakurai, Yasumichi Wakao, Kenji Kawashima, and Kohei Nakajima. 2022. \u201cA Coupled Spintronics Neuromorphic Approach for High-Performance Reservoir Computing.\u201d <i>Advanced Intelligent Systems<\/i> 4 (10): 2200123. <a href=\"https:\/\/doi.org\/10.1002\/aisy.202200123\">https:\/\/doi.org\/10.1002\/aisy.202200123<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Wentao Sun, Nozomi Akashi, Yasuo Kuniyoshi, and Kohei Nakajima. 2022. \u201cPhysics-Informed Recurrent Neural Networks for Soft Pneumatic Actuators.\u201d <i>IEEE Robotics and Automation Letters<\/i> 7 (3): 6862\u201369. <a href=\"https:\/\/doi.org\/10.1109\/LRA.2022.3178496\">https:\/\/doi.org\/10.1109\/LRA.2022.3178496<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Osamu Nomura, Yusuke Sakemi, Takeo Hosomi, and Takashi Morie. 2022. \u201cRobustness of Spiking Neural Networks Based on Time-to-First-Spike Encoding Against Adversarial Attacks.\u201d <i>IEEE Transactions on Circuits and Systems II: Express Briefs<\/i> 69 (9): 3640\u201344. <a href=\"https:\/\/doi.org\/10.1109\/TCSII.2022.3184313\">https:\/\/doi.org\/10.1109\/TCSII.2022.3184313<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yu Yoshino and Yuichi Katori. \u201cShort-Term Memory Ability of Reservoir-Based Temporal Difference Learning Model.\u201d <i>Nonlinear Theory and Its Applications, IEICE<\/i> 13, no. 2 (2022): 203\u2013208. <a href=\"https:\/\/doi.org\/10.1587\/nolta.13.203\">https:\/\/doi.org\/10.1587\/nolta.13.203<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Hiroshi Kubota, Tsuyoshi Hasegawa, Megumi Akai-Kasaya, and Tetsuya Asai. \u201cNoise Sensitivity of Physical Reservoir Computing in a Ring Array of Atomic Switches.\u201d <i>Nonlinear Theory and Its Applications, IEICE<\/i> 13, no. 2 (2022): 373\u201378. <a href=\"https:\/\/doi.org\/10.1587\/nolta.13.373\">https:\/\/doi.org\/10.1587\/nolta.13.373<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yuichiro Tanaka and Hakaru Tamukoh. \u201cReservoir-Based Convolution.\u201d <i>Nonlinear Theory and Its Applications, IEICE<\/i> 13, no. 2 (2022): 397\u2013402. <a href=\"https:\/\/doi.org\/10.1587\/nolta.13.397\">https:\/\/doi.org\/10.1587\/nolta.13.397<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yoshihiro Yonemura and Yuichi Katori. \u201cFunctional Connectivity Analysis on Hierarchical Reservoir Computing Model.\u201d <i>Nonlinear Theory and Its Applications, IEICE<\/i> 13, no. 2 (2022): 446\u2013451. <a href=\"https:\/\/doi.org\/10.1587\/nolta.13.446\">https:\/\/doi.org\/10.1587\/nolta.13.446<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Ryo Sakurai, Mitsuhiro Nishida, Taketomo Jo, Yasumichi Wakao, and Kohei Nakajima. 2022. \u201cDurable Pneumatic Artificial Muscles with Electric Conductivity for Reliable Physical Reservoir Computing.\u201d <i>Journal of Robotics and Mechatronics<\/i> 34 (2): 240\u201348. <a href=\"https:\/\/doi.org\/10.20965\/jrm.2022.p0240\">https:\/\/doi.org\/10.20965\/jrm.2022.p0240<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Ryo Terajima, Katsuma Inoue, Shogo Yonekura, Kohei Nakajima, and Yasuo Kuniyoshi. \u201cBehavioral Diversity Generated From Body\u2013Environment Interactions in a Simulated Tensegrity Robot.\u201d <i>IEEE Robotics and Automation Letters<\/i> 7, no. 2 (April 2022): 1597\u20131604. <a href=\"https:\/\/doi.org\/10.1109\/LRA.2021.3139083\">https:\/\/doi.org\/10.1109\/LRA.2021.3139083<\/a>.<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Katsuma Inoue, Soh Ohara, Yasuo Kuniyoshi, and Kohei Nakajima. \u201cTransient Chaos in Bidirectional Encoder Representations from Transformers.\u201d <i>Physical Review Research<\/i> 4, no. 1 (March 16, 2022): 013204. <a href=\"https:\/\/doi.org\/10.1103\/PhysRevResearch.4.013204\">https:\/\/doi.org\/10.1103\/PhysRevResearch.4.013204<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Kazutoshi Tanaka, Yuji Tokudome, Yuna Minami, Satoko Honda, Toshiki Nakajima, Kuniharu Takei, and Kohei Nakajima. \u201cSelf-Organization of Remote Reservoirs: Transferring Computation to Spatially Distant Locations.\u201d <i>Advanced Intelligent Systems<\/i> 4, no. 3 (March 2022): 2100166. <a href=\"https:\/\/doi.org\/10.1002\/aisy.202100166\">https:\/\/doi.org\/10.1002\/aisy.202100166<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Hiroshi Kubota, Tsuyoshi Hasegawa, Megumi Akai-Kasaya, and Tetsuya Asai. \u201cBehavioral Model of Molecular Gap-Type Atomic Switches and Its SPICE Integration.\u201d <i>Circuits and Systems<\/i> 13, no. 1 (January 30, 2022): 1\u201312. <a href=\"https:\/\/doi.org\/10.4236\/cs.2022.131001\">https:\/\/doi.org\/10.4236\/cs.2022.131001<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Nozomi Akashi, Kohei Nakajima, Mitsuru Shibayama, and Yasuo Kuniyoshi. \u201cA Mechanical True Random Number Generator.\u201d <i>New Journal of Physics<\/i> 24, no. 1 (January 2022): 013019. <a href=\"https:\/\/doi.org\/10.1088\/1367-2630\/ac45ca\">https:\/\/doi.org\/10.1088\/1367-2630\/ac45ca<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<\/ul>\r\n<h5>\u67fb\u8aad\u4ed8\u304d\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Nagai Tatsuro, and Katori Yuichi. 2022. \u201cOnline Reinforcement Learning on Reservoir Based Actor-Critic Model with Gibbs\u2019s Policy.\u201d In <i>2022 International Symposium on Nonlinear Theory and Its Applications<\/i>, 87\u201390. The Institute of Electronics, Information and Communication Engineers. <a href=\"https:\/\/doi.org\/10.34385\/proc.71.A3L-D-03\">https:\/\/doi.org\/10.34385\/proc.71.A3L-D-03<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Izumi Tomohito, and Katori Yuichi. 2022. \u201cVisual Predictive Coding Model with Reservoir Computing for Reinforcement Learning Tasks in 3D Environment.\u201d In <i>2022 International Symposium on Nonlinear Theory and Its Applications<\/i>, 91\u201394. The Institute of Electronics, Information and Communication Engineers. <a href=\"https:\/\/doi.org\/10.34385\/proc.71.A3L-D-04\">https:\/\/doi.org\/10.34385\/proc.71.A3L-D-04<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yonemura Yoshihiro, and Katori Yuichi. 2022. \u201cMental Simulation on Reservoir Computing as an Efficient Planning Method for Mobile Robot Navigation.\u201d In <i>2022 International Symposium on Nonlinear Theory and Its Applications<\/i>, 83\u201386. The Institute of Electronics, Information and Communication Engineers. <a href=\"https:\/\/doi.org\/10.34385\/proc.71.A3L-D-02\">https:\/\/doi.org\/10.34385\/proc.71.A3L-D-02<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>Seiichi Bun, Kota Ando, Megumi Akai-Kasaya, and Tetsuya Asai. 2022. \u201cAn Active Charge Balancer Towards CMOS Integration of an Array of Neural Stimulators.\u201d In 2022 International Symposium on Nonlinear Theory and Its Applications. https:\/\/confit.atlas.jp\/guide\/event\/nolta2022\/subject\/B4L-D-05\/detail.<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Kazuo Nakahara, Yuichi Katori, Osamu Nomura, Hakaru Tamukoh, and Takashi Morie. 2022. \u201cEvaluation of Modular Reservoirs Using Chaotic Boltzmann Machines.\u201d In <i>The 4th International Symposium on Neuromorphic AI Hardware<\/i>. Fukuoka, Japan.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Katsunori Tamai, Yuichi Katori, Hakaru Tamukoh, Osamu Nomura, and Takashi Morie. 2022. \u201cPerformance Evaluation of a Reservoir Reinforcement Learning Model Considering Nonlinear Write Characteristics of Analog Memory.\u201d In <i>The 4th International Symposium on Neuromorphic AI Hardware<\/i>. Fukuoka, Japan.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yuichiro Tanaka, and Hakaru Tamukoh. 2022. \u201cReservoir-Based 1D Convolution.\u201d In <i>The 4th International Symposium on Neuromorphic AI Hardware<\/i>. Fukuoka, Japan.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>Sumito Tsunegi, Tomohiro Taniguchi, Akira Kamimaki, Kay Yakushiji, Akio Fukushima, Shinji Yuasa, Hitoshi Kubota \u201cPhysical Reservoir Computing using spin torque oscillator with loop circuit\u201d, 2022 Joint MMM-Intermag, 2022.<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yuji Kawai, Jihoon Park, Ichiro Tsuda, and Minoru Asada. 2022. \u201cSelf-Organization of a Dynamical Orthogonal Basis Acquiring Large Memory Capacity in Modular Reservoir Computing.\u201d In <i>The 31st International Conference on Artificial Neural Networks<\/i>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Osamu Nomura, Yusuke Sakemi, Takeo Hosomi, and Takashi Morie. 2022. \u201cRobustness of Spiking Neural Networks Based on Time-to-First-Spike Encoding Against Adversarial Attacks (MWSCAS2022).\u201d In <i>The 65th IEEE International Midwest Symposium on Circuits and Systems<\/i>, 9018. Fukuoka, Japan.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Wentao Sun, Nozomi Akashi, Yasuo Kuniyoshi, and Kohei Nakajima. 2022. \u201cSelf-Organization of Physics-Informed Mechanisms in Recurrent Neural Networks: A Case Study in Pneumatic Artificial Muscles.\u201d In <i>2022 IEEE 5th International Conference on Soft Robotics (RoboSoft)<\/i>, 409\u201315. <a href=\"https:\/\/doi.org\/10.1109\/RoboSoft54090.2022.9762181\">https:\/\/doi.org\/10.1109\/RoboSoft54090.2022.9762181<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Katsushi Kagaya, Bowei Yu, Yuna Minami, and Kohei Nakajima. 2022. \u201cEcho State Property and Memory in Octopus-Inspired Soft Robotic Arm.\u201d In <i>2022 IEEE 5th International Conference on Soft Robotics (RoboSoft)<\/i>, 224\u201330. <a href=\"https:\/\/doi.org\/10.1109\/RoboSoft54090.2022.9762119\">https:\/\/doi.org\/10.1109\/RoboSoft54090.2022.9762119<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Kazuo Nakahara, Yuichi Katori, Hakaru Tamukoh, Osamu Nomura, and Takashi Morie. \u201cMemory Capacity of Reservoir Computing Using Chaotic Boltzmann Machines.\u201d In <i>The 3rd International Symposium on Neuromorphic AI Hardware<\/i>. Fukuoka, Japan, 2022.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Katsunori Tamai, Kohei Kawazoe, Yuka Shishido, Yuichi Katori, Hakaru Tamukoh, Osamu Nomura, and Takashi Morie. \u201cNumerical Simulation for Analog VLSI Implementation of Reinforcement Learning Using Reservoir Computing.\u201d In <i>The 3rd International Symposium on Neuromorphic AI Hardware<\/i>. Fukuoka, Japan, 2022.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yuka Shishido, Kohei Kawazoe, Katsunori Tamai, Hakaru Tamukoh, Osamu Nomura, and Takashi Morie. \u201cA Co-Design Environment for AI Hardware Simulation Using PyLTSpice.\u201d In <i>The 3rd International Symposium on Neuromorphic AI Hardware<\/i>. Fukuoka, Japan, 2022. <span style=\"color: #ff0000;\">Student Presentation Award<\/span><\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Daiju Kanaoka, Yuichiro Tanaka, and Hakaru Tamukoh. \u201cApplying Center Loss to Multidimensional Feature Space in Deep Neural Networks for Open-Set Recognition.\u201d In <i>Proceedings of the 17th International Conference on Computer Vision Theory and Applications<\/i>, 5:359\u201365, 2022. <a href=\"https:\/\/doi.org\/10.5220\/0010816600003124\">https:\/\/doi.org\/10.5220\/0010816600003124<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<\/ul>\r\n<h5>\u67fb\u8aad\u306a\u3057\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\u5d0e\u91ce\u4e5f\u771f\u4eba, \u7530\u5411\u6a29, \u68ee\u6c5f\u9686, \u9999\u53d6\u52c7\u4e00. 2022. \u201c\u8d85\u7acb\u65b9\u4f53\u4e0a\u306e\u64ec\u4f3c\u30d3\u30ea\u30e4\u30fc\u30c9\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306b\u57fa\u3065\u304f\u30ec\u30b6\u30d0\u30fc\u8a08\u7b97\u306e\u6027\u80fd\u8a55\u4fa1\u3068\u305d\u306e\u6539\u5584.\u201d In NEURO2022, 1P \u2013 314. \u6c96\u7e04\u30b3\u30f3\u30d9\u30f3\u30b7\u30e7\u30f3\u30bb\u30f3\u30bf\u30fc. https:\/\/confit.atlas.jp\/guide\/event\/neuro2022\/subject\/1P-314\/detail.<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u5409\u91ce\u904a, \u9999\u53d6\u52c7\u4e00. 2022. \u201c\u90e8\u5206\u89b3\u6e2c\u30de\u30eb\u30b3\u30d5\u6c7a\u5b9a\u904e\u7a0b\u306b\u304a\u3051\u308b\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3092\u57fa\u306b\u3057\u305fTD\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u77ed\u671f\u8a18\u61b6\u6027\u80fd.\u201d In <i>NEURO2022<\/i>, 1P \u2013 315. \u6c96\u7e04\u30b3\u30f3\u30d9\u30f3\u30b7\u30e7\u30f3\u30bb\u30f3\u30bf\u30fc. <a href=\"https:\/\/confit.atlas.jp\/guide\/event\/neuro2022\/subject\/1P-315\/detail\">https:\/\/confit.atlas.jp\/guide\/event\/neuro2022\/subject\/1P-315\/detail<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u4e2d\u6751\u4ec1, \u9999\u53d6\u52c7\u4e00. \u201c\u52d5\u7684\u30b7\u30ca\u30d7\u30b9\u3092\u7528\u3044\u305f\u5831\u916c\u4fee\u98fe\u578b\u30ec\u30b6\u30d0\u30fc\u8a08\u7b97\u306b\u57fa\u3065\u304f\u884c\u52d5\u8a08\u753b\u306e\u6570\u7406\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\u3068\u89e3\u6790.\u201d In <i>NEURO2022<\/i>, 1P \u2013 068. \u6c96\u7e04\u30b3\u30f3\u30d9\u30f3\u30b7\u30e7\u30f3\u30bb\u30f3\u30bf\u30fc, 2022. <a href=\"https:\/\/confit.atlas.jp\/guide\/event\/neuro2022\/subject\/1P-068\/detail\">https:\/\/confit.atlas.jp\/guide\/event\/neuro2022\/subject\/1P-068\/detail<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\u5fb3\u91ce\u5c06\u58eb, \u7530\u4e2d\u60a0\u4e00\u6717, \u5ddd\u7bc0\u62d3\u5b9f, \u7d30\u7530\u8015, \u7530\u5411\u6a29. 2022. \u201c\u30ed\u30dc\u30c3\u30c8\u306e\u89e6\u899a\u306e\u8a18\u61b6\u7372\u5f97\u3068\u8a18\u61b6\u306b\u57fa\u3065\u3044\u305f\u9055\u548c\u611f\u306e\u691c\u77e5.\u201d In \u7b2c40\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a, 4I3-08.<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u91ce\u6751\u4fee, \u68ee\u6c5f\u9686, \u7530\u5411\u6a29, \u5ddd\u5cf6\u4e00\u90ce, \u4e2d\u539f\u548c\u52c7, \u9999\u53d6\u52c7\u4e00. 2022. \u201c\u30ab\u30aa\u30b9\u30dc\u30eb\u30c4\u30de\u30f3\u30de\u30b7\u30f3\u3068\u305d\u306e\u30ec\u30b6\u30d0\u30fc\u5fdc\u7528\uff0c\u304a\u3088\u3073\u8d85\u4f4e\u6d88\u8cbb\u96fb\u529b\u578b\uff2c\uff33\uff29\u306e\u958b\u767a.\u201d In <i>2022\u5e74 \u96fb\u6c17\u5b66\u4f1a \u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u5927\u4f1a<\/i>, TC16-1.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u7389\u4e95\u514b\u5178, \u7530\u5411\u6a29, \u9999\u53d6\u52c7\u4e00, \u91ce\u6751\u4fee, \u68ee\u6c5f\u9686. 2022. \u201c\u30a2\u30ca\u30ed\u30b0\u30e1\u30e2\u30ea\u306e\u975e\u7dda\u5f62\u66f8\u304d\u8fbc\u307f\u7279\u6027\u3092\u8003\u616e\u3057\u305f\u30ea\u30b6\u30d0\u30fc\u5f37\u5316\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u8a55\u4fa1.\u201d In <i>\u7b2c83\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a<\/i>, 21a-C201-7. \u6771\u5317\u5927\u5b66.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\u5c71\u5ddd\u7d9c\u4e00\u90ce, \u5b89\u85e4\u6d38\u592a, \u8d64\u4e95\u6075, \u6d45\u4e95\u54f2\u4e5f. 2022. \u201c\u975e\u7dda\u5f62\u52d5\u7684\u30b7\u30b9\u30c6\u30e0\u306e\u767a\u6563\u7279\u6027\u3092\u5229\u7528\u3057\u305f\u5fae\u5c0f\u4fe1\u53f7\u691c\u51fa\u56de\u8def\u306e\u8a2d\u8a08\u3068\u8a55\u4fa1.\u201d In \u7b2c35\u56de \u56de\u8def\u3068\u30b7\u30b9\u30c6\u30e0\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7, 239\u201344. \u5317\u4e5d\u5dde\u56fd\u969b\u4f1a\u8b70\u5834.<\/li>\r\n<li>Y. Kawai, J. Park, I. Tsuda and M. Asada. \u201cLearning Long-Term Motor Timing and Patterns Using Modular Reservoir Computing.\u201d In International Symposium on Artificial Intelligence and Brain Science, 2022. http:\/\/www.brain-ai.jp\/jp\/symposium2022\/.<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u6cb3\u5408\u7950\u53f8, \u6734\u5fd7\u52f2, \u6d25\u7530\u4e00\u90ce, \u6d45\u7530\u7a14. \u201c\u30e2\u30b8\u30e5\u30fc\u30eb\u578b\u30ec\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u304a\u3051\u308b\u5927\u8a18\u61b6\u5bb9\u91cf\u3092\u6709\u3059\u308b\u52d5\u7684\u76f4\u4ea4\u57fa\u5e95\u306e\u5275\u767a.\u201d In \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a \u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a, 2022. <a href=\"https:\/\/www.ieice.org\/ken\/paper\/20220629JCkT\/\">https:\/\/www.ieice.org\/ken\/paper\/20220629JCkT\/<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>K. Tamai, K. Kawazoe, Y. Shishido, Y. Katori, H. Tamukoh, O. Nomura, and T. Morie. \u201cNumerical Simulation for VLSI Implementation of Reinforcement Learning Using Reservoir Computing.\u201d In <i>The 10th RIEC International Symposium on Brain Functions and Brain Computer<\/i>. Sendai, Japan, 2022.<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Y. Shishido, K. Kawazoe, K. Tamai, Y. Katori, H. Tamukoh, O. Nomura, and T. Morie. \u201cA Co-Design Environment for Computational Models and Circuits Using PyLTSpice and Its Application to Circuit Design for Reinforcement Learning Using Reservoir Computing.\u201d In <i>The 10th RIEC International Symposium on Brain Functions and Brain Computer<\/i>. Sendai, Japan, 2022.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">A. Mizutani, Y. Tanaka, H. Tamukoh, Y. Katori, K. Tateno, and T. Morie. \u201cA Situation-Dependent Navigation System by Brain-Inspired Neural Networks with Hippocampus, Prefrontal Cortex, and Amygdala Functions.\u201d In <i>The 10th RIEC International Symposium on Brain Functions and Brain Computer<\/i>. Sendai, Japan, 2022.<\/div>\r\n<\/div>\r\n<\/li>\r\n<\/ul>\r\n<h5>\u62db\u5f85\u8b1b\u6f14<\/h5>\r\n<ul>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Osamu Nomura. 2022. \u201cAnalog Neuromorphic Hardware for Energy-Efficient AI Computing.\u201d Invited talk presented at the The 18th Embedded Vision Workshop In Conjunction With CVPR 2022, New Orleans, June 20. <a href=\"https:\/\/embeddedvisionworkshop.wordpress.com\/2023\/01\/01\/2022\/\">https:\/\/embeddedvisionworkshop.wordpress.com\/2023\/01\/01\/2022\/<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<\/ul>\r\n<h5>\u30d7\u30ec\u30b9\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\u9ad8\u6a4b\u5b8f\u77e5, &#8220;\u30e9\u30c3\u30c8\u3082\u97f3\u697d\u306e\u30d3\u30fc\u30c8\u306b\u5408\u308f\u305b\u3066\u8eab\u4f53\u3092\u52d5\u304b\u3059\u3053\u3068\u3092\u767a\u898b \uff5e\u97f3\u697d\u3084\u30c0\u30f3\u30b9\u306e\u8d77\u6e90\u306f\u3001\u52d5\u7269\u7a2e\u5171\u901a\u306e\u8133\u306e\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u304b\uff1f\uff5e&#8221;, 2022\u5e7411\u670812\u65e5,\u00a0<a href=\"https:\/\/www.i.u-tokyo.ac.jp\/news\/press\/2022\/202211122136.shtml\">https:\/\/www.i.u-tokyo.ac.jp\/news\/press\/2022\/202211122136.shtml<\/a><\/li>\r\n<\/ul>\r\n<h4>2021\u5e74<\/h4>\r\n<h5>\u8ad6\u6587<\/h5>\r\n<ul>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Akira Kamimaki, Tomoyuki Kubota, Sumito Tsunegi, Kohei Nakajima, Tomohiro Taniguchi, Julie Grollier, Vincent Cros, et al. \u201cChaos in Spin-Torque Oscillator with Feedback Circuit.\u201d <i>Physical Review Research<\/i> 3, no. 4 (December 27, 2021): 043216. <a href=\"https:\/\/doi.org\/10.1103\/PhysRevResearch.3.043216\">https:\/\/doi.org\/10.1103\/PhysRevResearch.3.043216<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Tomoyuki Kubota, Hirokazu Takahashi, and Kohei Nakajima. \u201cUnifying Framework for Information Processing in Stochastically Driven Dynamical Systems.\u201d <i>Physical Review Research<\/i> 3, no. 4 (November 23, 2021): 043135. <a href=\"https:\/\/doi.org\/10.1103\/PhysRevResearch.3.043135\">https:\/\/doi.org\/10.1103\/PhysRevResearch.3.043135<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yuichiro Yada, Shusaku Yasuda, and Hirokazu Takahashi. \u201cPhysical Reservoir Computing with FORCE Learning in a Living Neuronal Culture.\u201d <i>Applied Physics Letters<\/i> 119, no. 17 (October 25, 2021): 173701. <a href=\"https:\/\/doi.org\/10.1063\/5.0064771\">https:\/\/doi.org\/10.1063\/5.0064771<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Kanato Mori, Tomoyo Isoguchi Shiramatsu, Kotaro Ishizu, and Hirokazu Takahashi. \u201cSimultaneous Mapping of Neural Activities in Auditory and Visual Cortex of Rat.\u201d <i>Electronics and Communications in Japan<\/i> 104, no. 3 (2021): e12322. <a href=\"https:\/\/doi.org\/10.1002\/ecj.12322\">https:\/\/doi.org\/10.1002\/ecj.12322<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Naoki Wake, Kotaro Ishizu, Taiki Abe, and Hirokazu Takahashi. \u201cPrepulse Inhibition Predicts Subjective Hearing in Rats.\u201d <i>Scientific Reports<\/i> 11, no. 1 (September 23, 2021): 18902. <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-98167-6\">https:\/\/doi.org\/10.1038\/s41598-021-98167-6<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Kotaro Ishizu, Tomoyo I. Shiramatsu, Rie Hitsuyu, Masafumi Oizumi, Naotsugu Tsuchiya, and Hirokazu Takahashi. \u201cInformation Flow in the Rat Thalamo-Cortical System: Spontaneous vs. Stimulus-Evoked Activities.\u201d <i>Scientific Reports<\/i> 11, no. 1 (September 28, 2021): 19252. <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-98660-y\">https:\/\/doi.org\/10.1038\/s41598-021-98660-y<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Tomoyo Isoguchi Shiramatsu, Kanato Mori, Kotaro Ishizu, and Hirokazu Takahashi. \u201cAuditory, Visual, and Cross-Modal Mismatch Negativities in the Rat Auditory and Visual Cortices.\u201d <i>Frontiers in Human Neuroscience<\/i> 15 (September 17, 2021). <a href=\"https:\/\/doi.org\/10.3389\/fnhum.2021.721476\">https:\/\/doi.org\/10.3389\/fnhum.2021.721476<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u6d45\u7530\u7a14. \u201c\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u3068\u5f37\u5316\u5b66\u7fd2.\u201d \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u8a8c 39, no. 7 (2021): 575\u201380. <a href=\"https:\/\/doi.org\/10.7210\/jrsj.39.575\">https:\/\/doi.org\/10.7210\/jrsj.39.575<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Hiroshi Kubota, Tsuyoshi Hasegawa, Megumi Akai-Kasaya, and Tetsuya Asai. \u201cReservoir Computing on Atomic Switch Arrays with High Precision and Excellent Memory Characteristics.\u201d <i>Journal of Signal Processing<\/i> 25, no. 4 (2021): 123\u201326. <a href=\"https:\/\/doi.org\/10.2299\/jsp.25.123\">https:\/\/doi.org\/10.2299\/jsp.25.123<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Ken Goto, Kohei Nakajima, and Hirofumi Notsu. \u201cTwin Vortex Computer in Fluid Flow.\u201d <i>New Journal of Physics<\/i> 23, no. 6 (June 2021): 063051. <a href=\"https:\/\/doi.org\/10.1088\/1367-2630\/ac024d\">https:\/\/doi.org\/10.1088\/1367-2630\/ac024d<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u767d\u677e(\u78ef\u53e3)\u77e5\u4e16, \u963f\u90e8\u6cf0\u5df1, \u77f3\u6d25\u5149\u592a\u90ce, \u9ad8\u6a4b\u5b8f\u77e5. \u201c\u8996\u5e8a\u523a\u6fc0\u304c\u8074\u77e5\u899a\u306b\u53ca\u307c\u3059\u5f71\u97ff\u3092\u8a55\u4fa1\u3059\u308b\u5b9f\u9a13\u7cfb\u306e\u69cb\u7bc9.\u201d \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff43\uff08\u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u8a8c\uff09 141, no. 5 (2021): 627\u201333. <a href=\"https:\/\/doi.org\/10.1541\/ieejeiss.141.627\">https:\/\/doi.org\/10.1541\/ieejeiss.141.627<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u6210\u6e80\u6c60\u7530, \u9ad8\u6a4b\u5b8f\u77e5. \u201c\u4f4e\u983b\u5ea6\u523a\u6fc0\u306b\u3088\u308b\u795e\u7d4c\u7d30\u80de\u306e\u5206\u6563\u57f9\u990a\u7cfb\u306e\u5b66\u7fd2.\u201d \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff43\uff08\u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u8a8c\uff09 141, no. 5 (2021): 654\u201360. <a href=\"https:\/\/doi.org\/10.1541\/ieejeiss.141.654\">https:\/\/doi.org\/10.1541\/ieejeiss.141.654<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u7aaa\u7530\u667a\u4e4b, \u6afb\u5c71\u548c\u6d69, \u767d\u677e(\u78ef\u53e3)\u77e5\u4e16, \u9ad8\u6a4b\u5b8f\u77e5. \u201c\u795e\u7d4c\u7d30\u80de\u306e\u5206\u6563\u57f9\u990a\u7cfb\u306e\u9038\u8131\u691c\u51fa\u7279\u6027.\u201d \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff43\uff08\u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u8a8c\uff09 141, no. 5 (2021): 661\u201367. <a href=\"https:\/\/doi.org\/10.1541\/ieejeiss.141.661\">https:\/\/doi.org\/10.1541\/ieejeiss.141.661<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">\u6cb3\u5408\u7950\u53f8. \u201c\u8133\u795e\u7d4c\u306e\u8907\u96d1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6a5f\u80fd\u7684\u610f\u7fa9.\u201d \u30b7\u30b9\u30c6\u30e0\uff0f\u5236\u5fa1\uff0f\u60c5\u5831 65, no. 5 (2021): 188\u201393. <a href=\"https:\/\/doi.org\/10.11509\/isciesci.65.5_188\">https:\/\/doi.org\/10.11509\/isciesci.65.5_188<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yoshihiro Yonemura and Yuichi Katori. \u201cNetwork Model of Predictive Coding Based on Reservoir Computing for Multi-Modal Processing of Visual and Auditory Signals.\u201d <i>Nonlinear Theory and Its Applications, IEICE<\/i> 12, no. 2 (2021): 143\u201356. <a href=\"https:\/\/doi.org\/10.1587\/nolta.12.143\">https:\/\/doi.org\/10.1587\/nolta.12.143<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Katsuma Inoue, Yasuo Kuniyoshi, Katsushi Kagaya, and Kohei Nakajima. \u201cSkeletonizing the Dynamics of Soft Continuum Body from Video.\u201d <i>Soft Robotics<\/i>, February 18, 2021. <a href=\"https:\/\/doi.org\/10.1089\/soro.2020.0110\">https:\/\/doi.org\/10.1089\/soro.2020.0110<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Shaohua Kan, Kohei Nakajima, Yuki Takeshima, Tetsuya Asai, Yuji Kuwahara, and Megumi Akai-Kasaya. \u201cSimple Reservoir Computing Capitalizing on the Nonlinear Response of Materials: Theory and Physical Implementations.\u201d <i>Physical Review Applied<\/i> 15, no. 2 (February 12, 2021): 024030. <a href=\"https:\/\/doi.org\/10.1103\/PhysRevApplied.15.024030\">https:\/\/doi.org\/10.1103\/PhysRevApplied.15.024030<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<\/ul>\r\n<h5>\u67fb\u8aad\u4ed8\u304d\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Ichiro Kawashima, Yuichi Katori, Takashi Morie, and Hakaru Tamukoh. 2021. \u201cAn Area-Efficient Multiply-Accumulation Architecture and Implementations for Time-Domain Neural Processing.\u201d In <i>2021 International Conference on Field-Programmable Technology (ICFPT)<\/i>, 1\u20134. <a href=\"https:\/\/doi.org\/10.1109\/ICFPT52863.2021.9609809\">https:\/\/doi.org\/10.1109\/ICFPT52863.2021.9609809<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>Koutaro Minato and Yuichi Katori. \u201cRobot Arm Control Using Reward-Modulated Hebbian Learning.\u201d In ICONIP 2021: Neural Information Processing, 55\u201363. Cham: Springer International Publishing, 2021. https:\/\/doi.org\/10.1007\/978-3-030-92310-5_7.<\/li>\r\n<li>Ruihong Wu, Kohei Nakajima, and Yongping Pan. \u201cPerformance Improvement of FORCE Learning for Chaotic Echo State Networks.\u201d In <i>ICONIP 2021: Neural Information Processing<\/i>, 262\u201372. Cham: Springer International Publishing, 2021. <a style=\"background-color: #ffffff;\" href=\"https:\/\/doi.org\/10.1007\/978-3-030-92270-2_23\">https:\/\/doi.org\/10.1007\/978-3-030-92270-2_23<\/a>.<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Kohei Kawazoe, Yuichi Katori, Hakaru Tamukoh, Osamu Nomura, and Takashi Morie. \u201cDesign of a VLSI Circuit with Non-Volatile Analog Memory for Reinforcement Learning Using Reservoir Computing.\u201d In <i>9th International Symposium on Applied Engineering and Sciences (SAES2021)<\/i>, 2021.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Daiju Kanaoka, Yuichiro Tanaka, and Takashi Morie. \u201cOpen Set Recognition Using Hotelling\u2019s T2 Focusing on Multidimensional Feature Space in Deep Neural Networks.\u201d In <i>9th International Symposium on Applied Engineering and Sciences (SAES2021)<\/i>, 2021.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yu Yoshino and Yuichi Katori. \u201cShort-Term Memory Ability of Reservoir-Based Temporal Difference Learning Model.\u201d In <i>The 2021 NonLinear Science Workshop<\/i>. Online, 2021.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yoshihiro Yonemura and Yuichi Katori. \u201cAnalysis of Functional Connectivity on Reservoir Computing Model.\u201d In <i>The 2021 NonLinear Science Workshop<\/i>. Online, 2021.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yuichiro Tanaka and Hakaru Tamukoh. \u201cReservoir-Based Convolutional Neural Network.\u201d In <i>The 2021 NonLinear Science Workshop<\/i>. Online, 2021.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yamato Sakino, Hakaru Tamukoh, Takashi Morie, and Yuichi Katori. \u201cBenchmarks for Reservoir Computing Based on Pseudo-Billiard Dynamics in Hypercube.\u201d In <i>The 2021 NonLinear Science Workshop<\/i>. Online, 2021.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Hiroshi Kubota, Tsuyoshi Hasegawa, Megumi Akai, and Tetsuya Asai. \u201cOn the Noise Sensitivity of Physical Reservoir Computing in a Ring Array of Atomic Switches.\u201d In <i>The 2021 NonLinear Science Workshop<\/i>. Online, 2021.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Daiju Kanaoka, Yuichiro Tanaka, and Hakaru Tamukoh. \u201cOpen Set Recognition Using the Feature Space of Deep Neural Networks.\u201d In <i>2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)<\/i>, 2021. <a href=\"https:\/\/doi.org\/10.1109\/ISPACS51563.2021.9650985\">https:\/\/doi.org\/10.1109\/ISPACS51563.2021.9650985<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Yuichi Katori, Katsumi Tateno, and Takashi Morie. \u201cBrain-Inspired Neural Network Navigation System with Hippocampus, Prefrontal Cortex, and Amygdala Functions.\u201d In <i>2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)<\/i>, 2021. <a href=\"https:\/\/doi.org\/10.1109\/ISPACS51563.2021.9651058\">https:\/\/doi.org\/10.1109\/ISPACS51563.2021.9651058<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Hidenobu Sumioka, Kohei Nakajima, Kurima Sakai, Takashi Minato, and Masahiro Shiomi. \u201cWearable Tactile Sensor Suit for Natural Body Dynamics Extraction: Case Study on Posture Prediction Based on Physical Reservoir Computing*.\u201d In <i>2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)<\/i>, 9504\u20139511, 2021. <a href=\"https:\/\/doi.org\/10.1109\/IROS51168.2021.9636194\">https:\/\/doi.org\/10.1109\/IROS51168.2021.9636194<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yuta Horii, Katsuma Inoue, Satoshi Nishikawa, Kohei Nakajima, Ryuma Niiyama, and Yasuo Kuniyoshi. \u201cPhysical Reservoir Computing in a Soft Swimming Robot.\u201d MIT Press, 2021. <a href=\"https:\/\/doi.org\/10.1162\/isal_a_00426\">https:\/\/doi.org\/10.1162\/isal_a_00426<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Dinda Pramanta and Hakaru Tamukoh. \u201cFPGA Implementation of Pulse-Coupled Phase Oscillators Working as a Reservoir at the Edge of Chaos.\u201d In <i>2021 IEEE International Symposium on Circuits and Systems (ISCAS)<\/i>, 1\u20135, 2021. <a href=\"https:\/\/doi.org\/10.1109\/ISCAS51556.2021.9401215o\">https:\/\/doi.org\/10.1109\/ISCAS51556.2021.9401215o<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-entry\">Akira Kamimaki, Sumito Tsunegi, Kohei Nakajima, Kay Yakushiji, Akio Fukushima, Shinji Yuasa, and Hitoshi Kubota. \u201cEnhanced Computational Ability of Spin Torque Oscillator With Delayed-Feedback Circuit for Physical Reservoir Computing.\u201d In <i>Intermag 2021<\/i>, GB-07, 2022.<\/div>\r\n<\/li>\r\n<\/ul>\r\n<h5>\u67fb\u8aad\u306a\u3057\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\u5ddd\u6dfb\u7693\u5e73\u30fb\u7389\u4e95\u514b\u5178\u30fb\u5b8d\u6238\u512a\u6a3a\u30fb\u9999\u53d6\u52c7\u4e00\uff0c\u7530\u5411\u6a29\uff0c\u91ce\u6751\u4fee\uff0c\u68ee\u6c5f\u9686, \u201c\u4e0d\u63ee\u767a\u6027\u30a2\u30ca\u30ed\u30b0\u30e1\u30e2\u30ea\u306e\u9069\u7528\u3092\u76ee\u6307\u3057\u305f\u30ea\u30b6\u30d0\u30fc\u8a08\u7b97\u306b\u57fa\u3065\u304f\u5f37\u5316\u5b66\u7fd2\u56de\u8def\u306e\u8a2d\u8a08 \u201d, \u96fb\u6c17\u5b66\u4f1a\u30fb\u96fb\u5b50\u56de\u8def\u7814\u7a76\u4f1a, 2021.<\/li>\r\n<li>\r\n<p>\u91d1\u5ca1\u5927\u6a39\u30fb\u7530\u4e2d\u60a0\u4e00\u6717\u30fb\u7530\u5411\u6a29, \u201c\u591a\u6b21\u5143\u7279\u5fb4\u7a7a\u9593\u306b\u7740\u76ee\u3057\u305f\u30aa\u30fc\u30d7\u30f3\u30bb\u30c3\u30c8\u8a8d\u8b58\u624b\u6cd5\u306e\u958b\u767a\u201d,\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, 2021.<\/p>\r\n<\/li>\r\n<li>\r\n<p>\u5fb3\u91ce\u5c06\u58eb\u30fb\u7530\u4e2d\u60a0\u4e00\u6717\u30fb\u5ddd\u7bc0\u62d3\u5b9f\u30fb\u7d30\u7530\u8015\u30fb\u7530\u5411\u6a29, &#8220;\u67d4\u8edf\u63a5\u89e6\u30bb\u30f3\u30b5\u3092\u642d\u8f09\u3057\u305f\u30ed\u30dc\u30c3\u30c8\u30cf\u30f3\u30c9\u3092\u7528\u3044\u305f\u30a2\u30af\u30c6\u30a3\u30d6\u30bb\u30f3\u30b7\u30f3\u30b0\u306b\u3088\u308b\u7269\u4f53\u8a8d\u8b58&#8221;, \u7b2c39\u56de\u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a, 2021.<\/p>\r\n<\/li>\r\n<li>\r\n<p>\u7530\u4e2d\u60a0\u4e00\u6717\u30fb\u7530\u5411\u6a29\u30fb\u7acb\u91ce\u52dd\u5df3\u30fb\u7530\u4e2d\u5553\u6587\u30fb\u68ee\u6c5f\u9686, &#8220;\u6d77\u99ac\u30fb\u6241\u6843\u4f53\u30fb\u524d\u982d\u524d\u91ce\u306e\u6a5f\u80fd\u3092\u7d71\u5408\u3057\u305f\u8133\u578bAI\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2&#8221;, \u7b2c82\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2021.<\/p>\r\n<\/li>\r\n<li>\u4e45\u4fdd\u7530\u5b99\u30fb\u9577\u8c37\u5ddd\u525b\u30fb\u8d64\u4e95\u6075\u30fb\u6d45\u4e95\u54f2\u4e5f, &#8220;\u539f\u5b50\u30b9\u30a4\u30c3\u30c1\u3092\u7528\u3044\u305f\u30ea\u30b5\u3099\u30cf\u3099\u30fc\u30b3\u30f3\u30d2\u309a\u30e5\u30fc\u30c6\u30a3\u30f3\u30af\u3099\u306e\u30ce\u30a4\u30ba\u8a55\u4fa1&#8221;, \u7b2c82\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2021.<\/li>\r\n<li>\u548c\u6cc9\u53cb\u4eba\u30fb\u9999\u53d6\u52c7\u4e00, &#8220;\u30ec\u30b6\u30d0\u30fc\u8a08\u7b97\u3068\u4e88\u6e2c\u7b26\u53f7\u5316\u306b\u57fa\u3065\u304f\u4e8c\u7d4c\u8def\u8996\u899a\u60c5\u5831\u51e6\u7406\u30e2\u30c7\u30eb&#8221;, \u7b2c31\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2021<\/li>\r\n<li>\u4e2d\u6751\u4ec1\u30fb\u9999\u53d6\u52c7\u4e00, &#8220;\u52d5\u7684\u30b7\u30ca\u30d7\u30b9\u3092\u7528\u3044\u305f\u5831\u916c\u4fee\u98fe\u578b\u30ec\u30b6\u30d0\u30fc\u8a08\u7b97\u306b\u57fa\u3065\u304f\u884c\u52d5\u8a08\u753b\u306e\u6570\u7406\u30e2\u30c7\u30eb&#8221;, \u7b2c31\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2021<\/li>\r\n<li>\u6587\u6e05\u4e00\u30fb\u8d64\u4e95\u6075\u30fb\u6d45\u4e95\u54f2\u4e5f, &#8220;\u795e\u7d4c\u523a\u6fc0\u96fb\u6975\u30a2\u30ec\u30a4\u306eCMOS\u96c6\u7a4d\u5316\u306b\u5411\u3051\u305f\u80fd\u52d5\u7684\u30c1\u30e3\u30fc\u30b8\u30d0\u30e9\u30f3\u30b9\u56de\u8def&#8221;, \u7b2c31\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a, 2021<\/li>\r\n<li>\u9999\u53d6\u52c7\u4e00, &#8220;\u8d85\u7acb\u65b9\u4f53\u4e0a\u306e\u7591\u4f3c\u30d3\u30ea\u30a2\u30fc\u30c9\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306b\u57fa\u3065\u304f\u8a08\u7b97\u6a5f\u69cb\u3068\u305d\u306e\u30cb\u30e5\u30fc\u30ed\u30e2\u30eb\u30d5\u30a3\u30c3\u30af\u5fdc\u7528&#8221;, \u7b2c44\u56de\u65e5\u672c\u795e\u7d4c\u79d1\u5b66\u5927\u4f1a, 2021<\/li>\r\n<li>\u5c0f\u83c5\u4f51\u592a\u30fb\u5ddd\u7bc0\u62d3\u5b9f\u30fb\u7530\u5411\u6a29\u30fb\u7d30\u7530\u8015, \u201c\u5149\u5b66\u5f0f\u89e6\u899a\u30bb\u30f3\u30b5\u3068\u30a8\u30b3\u30fc\u30b9\u30c6\u30fc\u30c8\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u308b\u7269\u4f53\u8a8d\u8b58\u201d, \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a, 2021.<\/li>\r\n<li>\u4f0a\u85e4 \u572d\u57fa\u30fb\u767d\u677e(\u78ef\u53e3)\u77e5\u4e16\u30fb\u77f3\u7530\u76f4\u8f1d\u30fb\u771e\u795e\u82b1\u5e06\u30fb\u9ad8\u6a4b\u5b8f\u77e5, \u201c\u9f67\u6b6f\u985e\u306b\u304a\u3051\u308b\u30d3\u30fc\u30c8\u77e5\u899a\u306e\u795e\u7d4c\u57fa\u76e4\u201d, \u96fb\u6c17\u5b66\u4f1a\u7814\u7a76\u4f1a\u8cc7\u6599\u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a, 2021.<\/li>\r\n<li>\u8acf\u8a2a\u745b\u4ecb\u30fb\u7aaa\u7530\u667a\u4e4b\u30fb\u9ad8\u6a4b\u5b8f\u77e5, \u201c\u795e\u7d4c\u7d30\u80de\u306e\u5206\u6563\u57f9\u990a\u7cfb\u306e\u60c5\u5831\u51e6\u7406\u5bb9\u91cf\u201d, \u96fb\u6c17\u5b66\u4f1a\u7814\u7a76\u4f1a\u8cc7\u6599\u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a, 2021.<\/li>\r\n<li>\u68ee\u53f6\u4eba\u30fb\u767d\u677e\uff08\u78ef\u53e3\uff09\u77e5\u4e16\u30fb\u9ad8\u6a4b\u5b8f\u77e5, \u201c\u591a\u611f\u899a\u60c5\u5831\u51e6\u7406\u304c\u8133\u306e\u9038\u8131\u691c\u51fa\u306b\u53ca\u307c\u3059\u5f71\u97ff\u201d, \u96fb\u6c17\u5b66\u4f1a\u7814\u7a76\u4f1a\u8cc7\u6599\u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a, 2021.<\/li>\r\n<li>\u4e45\u4fdd\u7530 \u5b99\u30fb\u9577\u8c37\u5ddd \u525b\u30fb\u8d64\u4e95\u6075\u7b49, \u201c\u539f\u5b50\u30b9\u30a4\u30c3\u30c1\u30a2\u30ec\u30a4\u3092\u7528\u3044\u305f\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u201d, \u7b2c68\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u6625\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2021.<\/li>\r\n<li>\u6728\u6751\u6b66\u9f8d\u30fb\u7aaa\u7530\u667a\u4e4b\u30fb\u9ad8\u6a4b\u5b8f\u77e5, \u201c\u30ea\u30b6\u30d0\u30fc\u8a08\u7b97\u306e\u72b6\u614b\u7a7a\u9593\u5225\u60c5\u5831\u51e6\u7406\u80fd\u529b\u201d, \u96fb\u6c17\u5b66\u4f1a\u7814\u7a76\u4f1a\u8cc7\u6599\u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a, 2021.<\/li>\r\n<li>\u5ca1\u7530\u9752\u7a7a\u30fb\u5bfa\u524d\u9806\u4e4b\u4ecb, \u201c\u30e9\u30f3\u30c0\u30e0\u6642\u7cfb\u5217\u3092\u5229\u7528\u3059\u308b\u904b\u52d5\u306e\u6559\u5e2b\u3042\u308a\u5b66\u7fd2\u201d, \u65e5\u672c\u7269\u7406\u5b66\u4f1a\u7b2c76\u56de\u5e74\u6b21\u5927\u4f1a, 2021.<\/li>\r\n<li>\u77f3\u7530\u76f4\u8f1d\u30fb\u4f0a\u85e4\u572d\u57fa\u7b49, \u201c\u30e9\u30c3\u30c8\u8074\u899a\u91ce\u306b\u304a\u3051\u308b\u60c5\u5831\u51e6\u7406\u5bb9\u91cf\u306e\u8a08\u6e2c\u201d, \u96fb\u6c17\u5b66\u4f1a\u7814\u7a76\u4f1a\u8cc7\u6599\u533b\u7528\u30fb\u751f\u4f53\u5de5\u5b66\u7814\u7a76\u4f1a, 2021.<\/li>\r\n<li>Hiroshi Kubota, Tsuyoshi Hasegawa, Megumi Akai-Kasaya, and Tetsuya Asai, &#8220;Reservoir Computing on Atomic Switch Arrays with High Precision and Excellent Memory Characteristics&#8221;, RISP international Workshop on Nonlinear Circuits, Communications and Signal Processing 2021 (NCSP &#8217;21), 2021<\/li>\r\n<\/ul>\r\n<h4><a id=\"jp2020\"><\/a>2020\u5e74<\/h4>\r\n<h5>\u8ad6\u6587<\/h5>\r\n<ul>\r\n<li>Masatoshi Yamaguchi, Goki Iwamoto, Yuta Nishimura, Hakaru Tamukoh, Takashi Morie, \u201cAn Energy-efficient Time-domain Analog CMOS BinaryConnect Neural Network Processor Based on a Pulse-width Modulation Approach,\u201d IEEE Access, Vol.9, 2020.<\/li>\r\n<li>Nozomi Akashi, Terufumi Yamaguchi, Sumito Tsunegi, Tomohiro Taniguchi, Mitsuhiro Nishida, Ryo Sakurai, Yasumichi Wakao, Kohei Nakajima, \u201cInput-driven bifurcations and information processing capacity in spintronics reservoirs,\u201d <span lang=\"EN-US\"><i>Physical Review Research<\/i><\/span>, Vol.2, 043303, 2020.<\/li>\r\n<li>Shogo Yonekura, Yasuo Kuniyoshi, \u201cSpike-induced ordering: Stochastic neural spikes provide immediate adaptability to the sensorimotor system,\u201d <span lang=\"EN-US\"><i>National Academy of Sciences, <\/i><\/span>Vol.117, No.22, 12486-12496, 2020.<\/li>\r\n<li>Yutaro Ishida, Takashi Morie, Hakaru Tamukoh, \u201cA hardware intelligent processing accelerator for domestic service robots,\u201d <span lang=\"EN-US\"><i>Journal of Robotics and Mechatronics,<\/i><\/span>\u00a0Vol.34, No.14, 947-957, 2020.<\/li>\r\n<li>Masataka Harada, Mitsue Takahashi, Shigeki Sakai, Takashi Morie, \u201cA Time-domain Analog Weighted-sum Calculation Circuit Using Ferroelectric-gate Field-effect Transistors for Artificial Intelligence Processors,\u201d <span lang=\"EN-US\"><i>Japanese Journal of Applied Physics, <\/i><\/span>Vol. 59, No.4, 40604, 2020.<\/li>\r\n<li>Terufumi Yamaguchi, Nozomi Akashi, Kohei Nakajima, Hitoshi Kubota, Sumito Tsunegi, Tomohiro Taniguchi \u201cStep-like dependence of memory function on pulse width in spintronics reservoir computing,\u201d <span lang=\"EN-US\"><i>Scientific Reports,<\/i><\/span>\u00a0Vol.10, 19536, 2020.<\/li>\r\n<li>Kazutoshi Tanaka, Shih-Hsin Yang, Yuji Tokudome, Yuna Minami, Yuyao Lu, Takayuki Arie, Seiji Akita, Kuniharu Takei, Kohei Nakajima, \u201cFlapping-Wing Dynamics as a Natural Detector of Wind Direction,\u201d <span lang=\"EN-US\"><i>Advanced Intelligent Systems,<\/i><\/span>\u00a0Vol. 3, No. 2, 2000174, 2020.<\/li>\r\n<li>Ichiro Kawashima, Takashi Morie, Hakaru Tamukoh, \u201cFPGA implementation of hardware-oriented chaotic Boltzmann machines,\u201d <span lang=\"EN-US\"><i>IEEE Access<\/i><\/span>, Vol.8, 204360-204377, 2020.<\/li>\r\n<li>Katsuma Inoue, Kohei Nakajima, Yasuo Kuniyoshi, \u201cDesigning spontaneous behavioral switching via chaotic itinerancy,\u201d <span lang=\"EN-US\"><i>Science Advances<\/i><\/span>, Vol. 6, No. 46, eabb3989, 2020.<\/li>\r\n<li>Yuichiro Tanaka, Takashi Morie , Hakaru Tamukoh, \u201cAn amygdala-inspired classical conditioning model on FPGA for home service robots,\u201d <span lang=\"EN-US\"><i>IEEE Access<\/i><\/span>, Vol. 8, 212066-212078, 2020.<\/li>\r\n<li>Mizuka Komatsu, Takaharu Yaguchi, Kohei Nakajima, <span lang=\"EN-US\">\u201c<\/span>Algebraic approach towards the exploitation of &#8220;softness&#8221;: the input-output equation for morphological computation,<span lang=\"EN-US\">\u201d<\/span> <span lang=\"EN-US\"><i>International Journal of Robotics Research<\/i><\/span>, 0278364920912298, 2020.<\/li>\r\n<li><span lang=\"EN-US\">\u7aaa\u7530\u667a\u4e4b\u30fb\u4e2d\u5d8b\u6d69\u5e73\u30fb\u9ad8\u6a4b\u5b8f\u77e5<\/span><span lang=\"EN-US\">, &#8220;1\u6b21\u8996\u899a\u91ce\u306e\u904e\u6e21\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u306e\u63a8\u5b9a, \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cC\u96fb\u5b50\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u8a8c&#8221;, Vol. 140, No. 7, pp.723-729, 2020.<\/span><\/li>\r\n<li><span lang=\"EN-US\">Hirokazu Takahashi, Tomoyo <\/span><span lang=\"EN-US\">Isoguchi Shiramatsu, Rie Hitsuyu, Kenji Ibayashi, and Kensuke Kawai<i>,<\/i>\u00a0\u201cVagus nerve stimulation (VNS)-induced layer-specific modulation of evoked responses in the sensory cortex of rats,\u201d\u00a0<i>Scientific Reports, <\/i>No.10<i>, <\/i>8932, 2020.<\/span><\/li>\r\n<li><span lang=\"EN-US\">Kohei Nakajima<\/span><span lang=\"EN-US\">, \u201cPhysical reservoir computing \u2212an introductory perspective,\u201d <i>Japanese Journal of Applied Physics<\/i>, Vol.59, No.6, 060501, 2020.<\/span><\/li>\r\n<li><span lang=\"EN-US\">Shota Hamaguchi, Takumi Kawasetsu, Takato Horii, Hisashi Ishihara, Ryuma Niiyama, Koh Hosoda, and Minoru Asada, \u201cSoft inductive tactile sensor using flow channel enclosing liquid metal,\u201d <i>IEEE Robotics and Automation Letters<\/i>, No. 5, Vol. 3, 4028-4034, 2020.<\/span><\/li>\r\n<li>Tomoyo Isoguchi Shiramatsu and Hirokazu Takahashi, \u201cMismatch-negativity (MMN) in animal models: Homology of human MMN?\u201d, <span lang=\"EN-US\"><i>Hearing Research<\/i><\/span>,\u00a0In press.<\/li>\r\n<li>Takuma Tanaka, Kohei Nakajima, and Toshio Aoyagi, \u201cEffect of recurrent infomax on the information processing capability of input-driven recurrent neural networks,\u201d\u00a0<span lang=\"EN-US\"><i>Neuroscience Research<\/i><\/span>, Vol. 156, pp. 225-233, 2020.<\/li>\r\n<li><span lang=\"EN-US\">Terufumi Yamaguchi, Sumito Tsunegi, and Tomohiro Taniguchi, \u201cPhase estimation of spin-torque oscillator by nonlinear spin-torque diode effect,\u201d\u00a0<i>Japanese Journal of Applied Physics<\/i>, Vol. 59, No.2, 020903, 2020.<\/span><\/li>\r\n<li><span lang=\"EN-US\">Tomohiro Taniguchi, \u201cSynchronization and chaos in spin torque oscillator with two free layers,\u201d\u00a0<i>AIP Advances<\/i>, No. 10, Vol. 1, 015112, 2020.<\/span><\/li>\r\n<li>Hirokazu Takahashi, \u201cDarwinian computation with functional map in auditory cortex,\u201d <span lang=\"EN-US\"><i>Acoustical Science and Technology<\/i><\/span>,\u00a0Vol. 41, No. 1, pp. 39-47, 2020.<\/li>\r\n<\/ul>\r\n<h5>\u67fb\u8aad\u4ed8\u304d\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<ul>\r\n<li>Akira Kamimaki, Sumito Tsunegi, Tomohiro Taniguchi, Nozomi Akashi, Kohei Nakajima, Akio Fukushima, Shinji Yuasa, Vincent Cros, Julie Grollier, Hitoshi Kubota \u201cPhysical Reservoir Computing by Spin-Torque Oscillator at the Edge of Chaos\u201d, <span lang=\"EN-US\"><i>The 2020 Magnetism and Magnetic Materials Conference<\/i><\/span>, 2020.<\/li>\r\n<li>Shoshi Tokuno, Yuichiro Tanaka, Takumi Kawasetsu, Koh Hosoda, Hakaru Tamukoh, \u201cObject Recognition Using Flexible Tactile Sensor\u201d, <span lang=\"EN-US\"><i>Asia Pacific Conference on Robot IoT System Development and Platform, <\/i><\/span>2020.<\/li>\r\n<li>Daichi Kamimura, Yuichi Katori, Hakaru Tamukoh, Takashi Morie, \u201cPerformance Evaluation of Reservoir Computing Using Pseudo-billiard Dynamics in Hypercube\u201d, <span lang=\"EN-US\"><i>2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020)<\/i><\/span>, 2020.<\/li>\r\n<li>Yoshihiro Yonemura, Yuichi Katori, \u201cMulti-Modal Processing of Visual and Auditory Signals on Network Model Based on Predictive CodingAnd Reservoir Computing\u201d, <span lang=\"EN-US\"><i>2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020)<\/i><\/span>, 2020.<\/li>\r\n<li>Daichi Yamamoto, Ichiro Kawashima, Hakaru Tamukoh, Takashi Morie, Yuichi Katori, \u201cFPGA Implementation and Verification of Reservoir Computing Based on Pseudo-Billiard Dynamics in Hypercube,\u201d <span lang=\"EN-US\"><i>2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020)<\/i><\/span>, pp. 264, 2020.<\/li>\r\n<li>Yuta Nishimura, Masatoshi Yamaguchi, Daichi Kamimura, Hakaru Tamukoh, Takashi Morie, \u201cA Reservoir Computing System Using a CMOS Chaotic Boltzmann Machine Chip Controlled by SoC FPGA,\u201d <span lang=\"EN-US\"><i>2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020)<\/i><\/span>, pp. 137, 2020.<\/li>\r\n<li>Masafumi Inada, Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Takashi Morie, Yuichi Katori, \u201cA Reservoir Based Q-learning Model for Autonomous Mobile Robots,\u201d <span lang=\"EN-US\"><i>2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020)<\/i><\/span>, pp. 213-216, 2020.<\/li>\r\n<li>Yuichiro Tanaka, Hakaru Tamukoh, Katsumi Tateno, Yuichi Katori, Takashi Morie, \u201cA Brain-inspired Artificial Intelligence Model of Hippocampus, Amygdala, and Prefrontal Cortex on Home Service Robots,\u201d <span lang=\"EN-US\"><i>2020 International Symposium on Nonlinear Theory and Its Applications (NOLTA2020)<\/i><\/span>, pp. 138-141, 2020.<\/li>\r\n<li>Gabor Soter, Helmut Hauser, Andrew Conn, Jonathan Rossiter, Kohei Nakajima, \u201cShape reconstruction of CCD camera-based soft tactile sensors\u201d, <span lang=\"EN-US\"><i>2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)<\/i><\/span>, pp. 8957-8962, 2020.<\/li>\r\n<li>Jihoon Park, Yuji Kawai and Minoru Asada, \u201cSelf-organization of connectivity in spiking neural networks with balanced excitation and inhibition\u201d, <span lang=\"EN-US\">In<i> Proceedings of the 29th Annual Computational Neuroscience Meeting<\/i><\/span>, 2020.<\/li>\r\n<li><span lang=\"EN-US\">Shota Hamaguchi , Takumi Kawasetsu, Takato Horii, Hisashi Ishihara, Ryuma Niiyama, Koh Hosoda, and Minoru Asada, \u201cSoft Inductive Tactile Sensor using Flow Channel Enclosing Liquid Metal,\u201d In<i> Proceedings of the 3rd IEEE International Conference on Soft Robotics<\/i>, 2020.<\/span><\/li>\r\n<li><span lang=\"EN-US\">Ryo Sakurai, Mitsuhiro Nishida, Hideyuki Sakurai, Yasumichi Wakao, Nozomi Akashi, Yasuo Kuniyoshi, Yuna Minami, and Kohei Nakajima, \u201cEmulating a sensor using soft material dynamics: A reservoir computing approach to pneumatic artificial muscle,\u201d\u00a0In<i> Proceedings of the 3rd IEEE International Conference on Soft Robotics<\/i>, 2020.<\/span><\/li>\r\n<li>Kota Wakamatsu, Katsuma Inoue, Daiki Hagiwara, Haruka Adachi, Daisuke Matsui, Shunichi Kurumaya, Rie Nishihama, Manabu Okui, Kohei Nakajima, Yasuo Kuniyoshi, and Taro Nakamura, \u201cMixing state estimation of peristaltic continuous mixing conveyor with distributed sensing system based on soft intestine motion,\u201d <span lang=\"EN-US\">In<i> Proceedings of the 3rd IEEE International Conference on Soft Robotics<\/i>, 2020.<\/span><\/li>\r\n<\/ul>\r\n<h5>\u67fb\u8aad\u306a\u3057\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<ul>\r\n<li>Akira Kamimaki, Sumito Tsunegi, Tomohiro Taniguchi, Nozomi Akashi, Kohei Nakajima, Akio Fukushima, Shinji Yuasa, Vincent Cros, Julie Grollier, Hitoshi Kubota, &#8220;Physical Reservoir Computing by Spin-Torque Oscillator at the Edge of Chaos&#8221;, The 2020 Magnetism and Magnetic Materials Conference, 2020<\/li>\r\n<li>\u8c37\u53e3\u77e5\u5927\u30fb\u660e\u77f3\u671b\u6d0b\u30fb\u91ce\u6d25\u88d5\u53f2\u30fb\u6728\u6751\u6b63\u4eba\u30fb\u585a\u539f\u5b99\u30fb\u4e2d\u5d8b\u6d69\u5e73, \u201c\u9045\u5ef6\u56de\u8def\u3092\u542b\u3080\u30b9\u30d4\u30f3\u30c8\u30ed\u30cb\u30af\u30b9\u7d20\u5b50\u306b\u304a\u3051\u308b\u30ab\u30aa\u30b9\u201d, \u7b2c81\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2020.<\/li>\r\n<li>\u5c71\u53e3\u7693\u53f2\u30fb\u660e\u77f3\u671b\u6d0b\u30fb\u5e38\u6728\u6f84\u4eba\u30fb\u4e45\u4fdd\u7530\u5747\u30fb\u4e2d\u5d8b\u6d69\u5e73\u30fb\u8c37\u53e3\u77e5\u5927, \u201c\u9045\u5ef6\u56de\u8def\u3092\u542b\u3080\u30b9\u30d4\u30f3\u30c8\u30ed\u30cb\u30af\u30b9\u30fb\u30ea\u30b6\u30d0\u30fc\u306e\u77ed\u6642\u9593\u8a18\u61b6\u5bb9\u91cf\u201d, \u7b2c81\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2020.<\/li>\r\n<li>\r\n<p>Akira Kamimaki, Sumito Tsunegi, Tomohiro Taniguchi, Nozomi Akashi, Kohei Nakajima, Akio Fukushima, Shinji Yuasa, Hitoshi Kubota, &#8220;Chaotic Behavior of Spin-Torque Oscillator with Feedback Circuit, \u7b2c81\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2020<\/p>\r\n<\/li>\r\n<li>\u4e0a\u7267\u668e\u30fb\u5e38\u6728\u6f84\u4eba\u30fb\u8c37\u53e3\u77e5\u5927\u30fb\u660e\u77f3\u671b\u6d0b\u30fb\u4e2d\u5d8b\u6d69\u5e73\u30fb\u798f\u5cf6\u7ae0\u96c4\u30fb\u6e6f\u6d45\u65b0\u53f8\u30fb\u4e45\u4fdd\u7530\u5747, \u201cChaotic Behavior of Spin-Torque Oscillator with Feedback Circuit\u201d, \u7b2c81\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2020.<\/li>\r\n<li>\u6c34\u91ce \u6d77\u6e21\u30fb\u5ddd\u7bc0 \u62d3\u5b9f\u30fb\u5800\u4e95 \u9686\u6597\u30fb\u77e2\u91ce \u9806\u5f66\u30fb\u77f3\u539f \u5c1a, \u201c\u89e6\u899a\u3092\u5099\u3048\u308b\u5b50\u4f9b\u30a2\u30f3\u30c9\u30ed\u30a4\u30c9\u7528\u5c0f\u578b\u30cf\u30f3\u30c9\u306e\u9aa8\u683c\u306e\u6539\u826f\u3068\u8868\u9762\u5f35\u529b\u5c64\u306e\u5b9f\u88c5\u201d, \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u3000\u8b1b\u6f14\u4f1a2020, 2020.<\/li>\r\n<li>\u68ee\u6c5f\u9686\u30fb\u7acb\u91ce\u52dd\u5df3\u30fb\u4e2d\u5ddd\u62d3\u7d00\u30fb\u9ad8\u7530\u5065\u4ecb, \u201c\u6d77\u99ac\u306e\u6a5f\u80fd\u306b\u30d2\u30f3\u30c8\u3092\u5f97\u305f\u8133\u578b\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u201d, \u7b2c30\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a \u5168\u56fd\u5927\u4f1a, 2020.<\/li>\r\n<li>\u5927\u6cb3\u539f\u6602\u4e5f\u30fb\u9999\u53d6\u52c7\u4e00, \u201c\u30ec\u30b6\u30d0\u30fc\u8a08\u7b97\u3068\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2\u3092\u7d44\u307f\u5408\u305b\u305f\u63a8\u8ad6\u6a5f\u69cb\u306e\u7814\u7a76\u201d, \u7b2c30\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a \u5168\u56fd\u5927\u4f1a, 2020.<\/li>\r\n<li>\u5fb3\u91ce\u5c06\u58eb\u30fb\u7530\u4e2d\u60a0\u4e00\u6717\u30fb\u7530\u4e2d\u60a0\u4e00\u6717\u30fb\u5ddd\u7bc0\u62d3\u5b9f\u30fb\u7d30\u7530\u8015\u30fb\u7530\u5411\u6a29, \u201c\u67d4\u8edf\u89e6\u899a\u30bb\u30f3\u30b5\u3092\u642d\u8f09\u3057\u305f\u30ed\u30dc\u30c3\u30c8\u30cf\u30f3\u30c9\u306b\u3088\u308b\u89e6\u899a\u60c5\u5831\u304b\u3089\u306e\u7269\u4f53\u8a8d\u8b58\u201d, \u65e5\u672c\u30ed\u30dc\u30c3\u30c8\u5b66\u4f1a \u5b66\u8853\u8b1b\u6f14\u4f1a, 2020.<\/li>\r\n<li>\u6c34\u91ce\u6d77\u6e21\u30fb\u5ddd\u7bc0\u62d3\u5b9f\u30fb\u5800\u4e95\u9686\u6597\u30fb\u77e2\u91ce\u9806\u5f66\u30fb\u77f3\u539f\u5c1a, \u201c\u89e6\u899a\u3092\u5099\u3048\u308b\u5b50\u4f9b\u30a2\u30f3\u30c9\u30ed\u30a4\u30c9\u7528\u5c0f\u578b\u30cf\u30f3\u30c9\u306e\u9aa8\u683c\u306e\u6539\u826f\u3068\u8868\u9762\u5f35\u529b\u5c64\u306e\u5b9f\u88c5\u201d, \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a, 2020.<\/li>\r\n<li><span lang=\"EN-US\">\u660e\u77f3\u671b\u6d0b<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u5c71\u53e3\u7693\u53f2<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u5e38\u6728\u6f84\u4eba<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u8c37\u53e3\u77e5\u5927<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u4e2d\u5d8b\u6d69\u5e73<\/span><span lang=\"EN-US\">, \u201c\u30b9\u30d4\u30f3\u30c8\u30eb\u30af\u767a\u632f\u5668\u306b\u304a\u3051\u308b\u60c5\u5831\u51e6\u7406\u80fd\u529b\u3068\u5206\u5c90\u69cb\u9020\u306e\u95a2\u4fc2\u201d, <\/span><span lang=\"EN-US\">\u65e5\u672c\u7269\u7406<\/span><span lang=\"EN-US\">\u5b66\u4f1a<\/span><span lang=\"EN-US\">\u7b2c<\/span><span lang=\"EN-US\">75<\/span><span lang=\"EN-US\">\u56de\u5e74\u6b21\u5927<\/span><span lang=\"EN-US\">\u4f1a,<\/span><span lang=\"EN-US\">\u00a02020<\/span><span lang=\"EN-US\">.<\/span><\/li>\r\n<li><span lang=\"EN-US\">\u5c71\u53e3\u7693\u53f2<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u660e\u77f3\u671b\u6d0b<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u4e2d\u5d8b\u6d69\u5e73<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u5e38\u6728\u6f84\u4eba<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u4e45\u4fdd\u7530\u5747<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u8c37\u53e3\u77e5\u5927<\/span><span lang=\"EN-US\">, \u201c\u30b9\u30d4\u30f3\u30c8\u30eb\u30af\u767a\u632f\u5668\u306b\u304a\u3051\u308b\u30ab\u30aa\u30b9\u306e\u7406\u8ad6\u201d, <\/span><span lang=\"EN-US\">\u65e5\u672c\u7269\u7406<\/span><span lang=\"EN-US\">\u5b66\u4f1a<\/span><span lang=\"EN-US\">\u7b2c<\/span><span lang=\"EN-US\">75<\/span><span lang=\"EN-US\">\u56de\u5e74\u6b21\u5927<\/span><span lang=\"EN-US\">\u4f1a,<\/span><span lang=\"EN-US\">\u00a02020.<\/span><\/li>\r\n<li>Sumito Tsunegi, \u201cPhysical Reservoir Computing based on Spin Torque Oscillator with forced synchronization,\u201d\u00a0<span lang=\"EN-US\"><i>The 3rd Symposium for the Core Research Clusters for Materials Science and Spintronics<\/i><\/span>, 2020.<\/li>\r\n<li>Jihoon Park, Yuji Kawai, and Minoru Asada, \u201cFormation of Connectivity between Spiking Neural Networks with Balanced Excitation and Inhibition\u201d, \u8133\u3068\u5fc3\u306e\u30e1\u30ab\u30cb\u30ba\u30e0 \u7b2c19\u56de\u51ac\u306e\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7, 2020.<\/li>\r\n<\/ul>\r\n<h5>\u62db\u5f85\u8b1b\u6f14<\/h5>\r\n<ul>\r\n<li>\u68ee\u6c5f\u9686, &#8220;\u4e0d\u63ee\u767a\u6027\u30e1\u30e2\u30ea\u3092\u7528\u3044\u305fAI\u30d7\u30ed\u30bb\u30c3\u30b5\uff0f\u30cb\u30e5\u30fc\u30ed\u30e2\u30eb\u30d5\u30a3\u30c3\u30af\u56de\u8def\u6280\u8853\u306e\u9032\u5c55\u3068\u4eca\u5f8c\u306e\u5c55\u671b&#8221;, \u7b2c48\u56de\u8584\u819c\u30fb\u8868\u9762\u7269\u7406\u30bb\u30df\u30ca\u30fc(2020), 2020<\/li>\r\n<\/ul>\r\n<h4><a id=\"jp2019\"><\/a>2019\u5e74<\/h4>\r\n<h5>\u8ad6\u6587<\/h5>\r\n<ul>\r\n<li>Taichi Haruna and Kohei Nakajima, \u201cOptimal short-term memory before the edge of chaos in driven random recurrent networks,\u201d <span lang=\"EN-US\"><i>Physical Review E<\/i><\/span>, No, 100, Vol. 6, 062312, 2019.<\/li>\r\n<li>Tomohiro Taniguchi, Nozomi Akashi, Hirofumi Notsu, Masato Kimura, Hiroshi Tsukahara, and Kohei Nakajima, <span lang=\"EN-US\">\u201c<\/span>Chaos in nanomagnet via feedback current,<span lang=\"EN-US\">\u201d<\/span> <span lang=\"EN-US\"><i>Physical Review B,<\/i><\/span>\u00a0100: 174425, 2019.<\/li>\r\n<li><span lang=\"EN-US\">\u4e2d\u5d8b\u6d69\u5e73, \u201c\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u8a08\u7b97\u306e\u5c04\u7a0b\u2014\u30bd\u30d5\u30c8\u30ed\u30dc\u30c3\u30c8\u3092\u4f8b\u306b\u201d, \u30b7\u30b9\u30c6\u30e0\/\u5236\u5fa1\/\u60c5\u5831, No. 63, Vol. 12, pp. 505\u2013511, 2019.<\/span><\/li>\r\n<li>\u5e38\u6728\u6f84\u4eba\u30fb\u8c37\u53e3\u77e5\u5927\u30fb\u4e09\u8f2a\u771f\u55e3\u30fb\u4e2d\u5d8b\u6d69\u5e73\u30fb\u4e45\u4fdd\u7530\u5747, \u201c\u30b9\u30d4\u30f3\u30c8\u30eb\u30af\u767a\u632f\u5668\u3092\u7528\u3044\u305f\u7269\u7406\u30ea\u30b6\u30d0\u30fc\u8a08\u7b97\u201d, \u65e5\u672c\u78c1\u6c17\u5b66\u4f1a\u5b66\u4f1a\u8a8c, No. 14, Vol. 6, 2019.<\/li>\r\n<li>\u9ad8\u6a4b\u5b8f\u77e5, \u201c\u30a8\u30f3\u30b8\u30cb\u30a2\u306e\u305f\u3081\u306e\u8133\u79d1\u5b66\u306e\u3059\u3059\u3081\u201d, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8a8c, Vol. 102, Vol.9, pp. 881-888, 2019.<\/li>\r\n<li><span lang=\"EN-US\">Kohei Nakajima and Taichi Haruna, \u201cSpatiotemporal dynamics driven by the maximization of local information transfer,\u201d <i>New Journal of Physics<\/i>, Vol. 21, 013034, 2019.<\/span><\/li>\r\n<li><span lang=\"EN-US\">Jihoon Park, Koki Ichinose, Yuji Kawai, Junichi Suzuki, Minoru Asada, and Hiroki Mori, \u201cMacroscopic cluster organizations change the complexity of neural activity,\u201d <i>Entropy<\/i>, Vol. 21, No. 2, 214, 2019.<\/span><\/li>\r\n<li><span lang=\"EN-US\">Kohei Nakajima, <\/span><span lang=\"EN-US\">Keisuke Fujii, Makoto Negoro, Kosuke Mitarai, and Masahiro Kitagawa, \u201c<\/span><span lang=\"EN-US\">Boosting computational power through spatial multiplexing in quantum reservoir computing,\u201d <i>Physical Review Applied<\/i>, Vol. 11, No. 3, 034021, 2019.<\/span><\/li>\r\n<li><span lang=\"EN-US\">Sumito Tsunegi, Tomohiro Taniguchi, Kohei Nakajima, Shinji Miwa, Kay Yakushiji, Akio Fukushima, Shinji Yuasa, and Hitoshi Kubota, \u201cPhysical reservoir computing based on spin torque oscillator with forced synchronization,\u201d<i>Applied Physics Letters<\/i>, Vol. 114, No. 16, 164101, 2019.\u00a0<\/span><\/li>\r\n<li>\u9e7f\u5c71\u6566\u81f3\u30fb\u77e2\u7530\u7950\u4e00\u90ce\u30fb\u9ad8\u6a4b\u5b8f\u77e5\uff0c\u201c\u795e\u7d4c\u7d30\u80de\u306e\u5206\u6563\u57f9\u990a\u7cfb\u306b\u304a\u3051\u308b\u96c6\u56e3\u540c\u671f\u767a\u706b\u30d1\u30bf\u30fc\u30f3\u3068\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u69cb\u9020\u306e\u767a\u9054\u201d\uff0c\u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff23\uff08\u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u8a8c\uff09\uff0c<span lang=\"EN-US\">Vol. 139, No. 5, pp. 570-578, 2019\uff0e<\/span><\/li>\r\n<li>\u4e09\u7530\u6bc5\u30fb<span lang=\"EN-US\">Douglas Bakkum<\/span>\u30fb<span lang=\"EN-US\">Urs Frey<\/span>\u30fb<span lang=\"EN-US\">Andreas Hierlemann<\/span>\u30fb\u795e\u5d0e\u4eae\u5e73\u30fb\u9ad8\u6a4b\u5b8f\u77e5\uff0c\u201c\u9ad8\u5bc6\u5ea6<span lang=\"EN-US\">CMOS<\/span>\u30a2\u30ec\u30a4\u4e0a\u306e\u5206\u6563\u57f9\u990a\u7cfb\u306b\u304a\u3051\u308b\u6d3b\u52d5\u96fb\u4f4d\u6ce2\u5f62\u306b\u57fa\u3065\u304f\u8208\u596e\u6027\u53ca\u3073\u6291\u5236\u6027\u795e\u7d4c\u7d30\u80de\u306e\u5206\u985e\u201d\uff0c\u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff23\uff08\u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u8a8c\uff09\uff0c<span lang=\"EN-US\">Vol. 139, No. 5, pp. 615-624, 2019\uff0e<\/span><\/li>\r\n<li>\u77f3\u6d25\u5149\u592a\u90ce\u30fb\u767d\u677e\uff08\u78ef\u53e3\uff09\u77e5\u4e16\u30fb\u5c0f\u6cb3\u539f\u5eb7\u4e00\u30fb\u9ad8\u6a4b\u5b8f\u77e5\uff0c\u201c\u30e9\u30c3\u30c8\u306e\u8074\u899a\u30bf\u30b9\u30af\u4e2d\u306e\u30de\u30a4\u30af\u30ed\u76ae\u8cea\u8133\u6ce2\u8a08\u6e2c\u201d\uff0c\u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8c\uff23\uff08\u96fb\u5b50\u30fb\u60c5\u5831\u30fb\u30b7\u30b9\u30c6\u30e0\u90e8\u9580\u8a8c\uff09\uff0c<span lang=\"EN-US\">Vol. 139, No. 5, pp. 625-631, 2019\uff0e<\/span><\/li>\r\n<li>Terufumi Yamaguchi, Nozomi Akashi, Kohei Nakajima, Sumito Tsunegi, Hitoshi Kubota, and Tomohiro Taniguchi, \u201cSynchronization and chaos in spin torque oscillator with perpendicularly magnetized free layer,\u201d\u00a0<span lang=\"EN-US\"><i>Physical Review B<\/i><\/span>, No. 100, Vol. 22, 224422, 2019.<\/li>\r\n<\/ul>\r\n<h5>\u67fb\u8aad\u4ed8\u304d\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Masatoshi Yamaguchi, Yuichi Katori, Daichi Kamimura, Hakaru Tamukoh, and Takashi Morie. 2019. \u201cA Chaotic Boltzmann Machine Working as a Reservoir and Its Analog VLSI Implementation.\u201d In <i>2019 International Joint Conference on Neural Networks (IJCNN)<\/i>, 1\u20137. <a href=\"https:\/\/doi.org\/10.1109\/IJCNN.2019.8852325\">https:\/\/doi.org\/10.1109\/IJCNN.2019.8852325<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>\r\n<div class=\"csl-bib-body\">\r\n<div class=\"csl-entry\">Yuichi Katori, Hakaru Tamukoh, and Takashi Morie. 2019. \u201cReservoir Computing Based on Dynamics of Pseudo-Billiard System in Hypercube.\u201d In <i>2019 International Joint Conference on Neural Networks (IJCNN)<\/i>, 1\u20138. <a href=\"https:\/\/doi.org\/10.1109\/IJCNN.2019.8852329\">https:\/\/doi.org\/10.1109\/IJCNN.2019.8852329<\/a>.<\/div>\r\n<\/div>\r\n<\/li>\r\n<li>Nozomi Akashi, Kohei Nakajima and Yasuo Kuniyoshi, \u201cUnpredictable as a dice: analyzing riddled basin structures in passive dynamic walker,\u201d In\u00a0Proceedings of the 30th International Symposium on Micro-NanoMechatronics and Human Science, pp. 119-123, 2019.<\/li>\r\n<li>Katsuma Inoue, Kohei Nakajima, and Yasuo Kuniyoshi, \u201cSoft bodies as input reservoir: role of softness from the viewpoint of reservoir computing,\u201d\u00a0<span lang=\"EN-US\">In\u00a0<i>Proceedings of the 30th International Symposium on Micro-NanoMechatronics and Human Science, <\/i>pp.\u00a0<\/span>60-65, 2019.<\/li>\r\n<li>Terufumi Yamaguchi, Nozomi Akashi, Kohei Nakajima, Sumito Tsunegi, Hitoshi Kubota, and Tomohiro Taniguchi, \u201cInjection locking of spin-torque oscillator with perpendicularly magnetized free layer,\u201d\u00a0<span lang=\"EN-US\">In\u00a0<i>Proceedings of the 64th Annual Conference on Magnetism and Magnetic Materials<\/i><\/span>, 2019.<\/li>\r\n<li>Sumito Tsunegi, Tomohiro Taniguchi, Kohei Nakajima, Shinji Miwa, Kay Yakushiji, Akio Fukushima, and Hitoshi Kubota, \u201cPhysical reservoir computing based on spin torque oscillator with synchronization,\u201d\u00a0<span lang=\"EN-US\">In\u00a0<i>Proceedings of the 64th Annual Conference on Magnetism and Magnetic Materials<\/i><\/span>, 2019.<\/li>\r\n<li>Tomohiro Taniguchi, \u201cSynchronization and chaos in spin torque oscillator with two free layers,\u201d\u00a0<span lang=\"EN-US\">In\u00a0<i>Proceedings of the 64th Annual Conference on Magnetism and Magnetic Materials<\/i><\/span>, 2019.<\/li>\r\n<li><span lang=\"EN-US\">Yutaro Ishida and Hakaru Tamukoh<\/span><span lang=\"EN-US\">, \u201cHigh-level synthesis system to integrate SoC and ROS,\u201d In\u00a0<i>Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform<\/i> 2019.<\/span><\/li>\r\n<li><span lang=\"EN-US\">Tomoyuki Kubota, Kohei Nakajima, and Hirokazu Takahashi, \u201cEcho state property of neuronal cell culture,\u201d\u00a0<\/span><i><span lang=\"EN-US\">Lecture Notes in Computer Science 11731 (Artificial Neural Networks and Machine Learning \u2013 ICANN 2019: Workshop and Special Sessions)<\/span><\/i><span lang=\"EN-US\">, Vol. 11731, pp. 137-148, 2019.<\/span><\/li>\r\n<li>Kaoruko Higuchi, Hoshinori Kanazawa, Yuma Suzuki, Keiko Fujii, and Yasuo Kuniyoshi, \u201cMusculoskeletal bias on infant sensorimotor development driven by predictive learning,\u201d\u00a0<span lang=\"EN-US\">In\u00a0<i>Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics,<\/i> 2019.<\/span><a name=\"Suzuki_19_CNS\"><\/a><\/li>\r\n<li><span lang=\"EN-US\">Kentaro Suzuki, Jihoon Park, Yuji Kawai, and Minoru Asada,<\/span><span lang=\"EN-US\">\u00a0\u201cSmall-world networks enhance the inter-brain synchronization\u201d, In\u00a0<i>Proceedings of the 28th Annual Computational Neuroscience Meeting<\/i>, 2019.<\/span><\/li>\r\n<\/ul>\r\n<h5>\u67fb\u8aad\u306a\u3057\u5b66\u4f1a\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\u7530\u4e2d\u60a0\u4e00\u6717, \u7530\u5411\u6a29, \u7acb\u91ce\u52dd\u5df3, \u9999\u53d6\u52c7\u4e00, and \u68ee\u6c5f\u9686. 2019. \u201c\u6d77\u99ac\u30fb\u6241\u6843\u4f53\u30fb\u524d\u982d\u524d\u91ce\u306e\u6a5f\u80fd\u3092\u7d71\u5408\u3057\u305f\u8133\u578b\u4eba\u5de5\u77e5\u80fd\u30e2\u30c7\u30eb.\u201d In \u7b2c29\u56de\u65e5\u672c\u795e\u7d4c\u56de\u8def\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\uff08JNNS2019\uff09, O3-41. \u6771\u4eac\u5de5\u696d\u5927\u5b66.<\/li>\r\n<li>Tsunegi, T. Taniguchi, K. Nakajima, S. Miwa, K. Yakushiji, A. Fukushima, S. Yuasa, and H. Kubota, \u201cPhysical reservoir computing based on spin torque oscillator,\u201d \u7b2c43\u56de\u65e5\u672c\u78c1\u6c17\u5b66\u4f1a\u5b66\u8853\u8b1b\u6f14\u4f1a, 2019.<\/li>\r\n<li>\u5c71\u53e3\u7693\u53f2\u30fb\u660e\u77f3\u671b\u6d0b\u30fb\u4e2d\u5d8b\u6d69\u5e73\u30fb\u5e38\u6728\u6f84\u4eba\u30fb\u4e45\u4fdd\u7530\u5747\u30fb\u8c37\u53e3\u77e5\u5927, \u201c\u30b9\u30d4\u30f3\u30c8\u30eb\u30af\u767a\u632f\u5668\u306b\u304a\u3051\u308b\u5f37\u5236\u540c\u671f\u306e\u7406\u8ad6\u201d, \u65e5\u672c\u7269\u7406\u5b66\u4f1a2019\u5e74\u79cb\u5b63\u5927\u4f1a, 2019.<\/li>\r\n<li><span lang=\"EN-US\">\u9234\u6728\u5065\u592a<\/span><span lang=\"EN-US\">\u90ce<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u6734\u5fd7<\/span><span lang=\"EN-US\">\u52f2<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u6cb3\u5408\u7950\u53f8<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u6d45<\/span><span lang=\"EN-US\">\u7530\u7a14<\/span><span lang=\"EN-US\">, \u201c<\/span><span lang=\"EN-US\">\u30b9\u30e2<\/span><span lang=\"EN-US\">\u30fc<\/span><span lang=\"EN-US\">\u30eb\u30ef<\/span><span lang=\"EN-US\">\u30fc<\/span><span lang=\"EN-US\">\u30eb\u30c9\u6027\u304c\u3082\u305f\u3089\u3059\u4e8c\u3064\u306e<\/span><span lang=\"EN-US\">\u8133<\/span><span lang=\"EN-US\">\u795e<\/span><span lang=\"EN-US\">\u7d4c<\/span><span lang=\"EN-US\">\u30e2\u30c7\u30eb\u306e\u540c\u671f\u201d<\/span><span lang=\"EN-US\">, <\/span><span lang=\"EN-US\">\u96fb\u5b50\u60c5\u5831\u901a\u4fe1<\/span><span lang=\"EN-US\">\u5b66\u4f1a<\/span><span lang=\"EN-US\">\u30cb\u30e5<\/span><span lang=\"EN-US\">\u30fc<\/span><span lang=\"EN-US\">\u30ed\u30b3\u30f3\u30d4\u30e5<\/span><span lang=\"EN-US\">\u30fc<\/span><span lang=\"EN-US\">\u30c6\u30a3\u30f3\u30b0<\/span><span lang=\"EN-US\">\u7814<\/span><span lang=\"EN-US\">\u7a76<\/span><span lang=\"EN-US\">\u4f1a<\/span><span lang=\"EN-US\">, Vol. 119, pp. 9-14, 2019.<\/span><\/li>\r\n<li>\u6734\u5fd7\u52f2\u30fb\u5c0f\u690b\u57fa\u5f18\u30fb\u6cb3\u5408\u7950\u53f8\u30fb\u6d45\u7530\u7a14,\u00a0\u201c\u30b9\u30d1\u30a4\u30ad\u30f3\u30b0\u30cb\u30e5\u30fc\u30ed\u30f3\u30e2\u30c7\u30eb\u306e\u8208\u596e\u6027\uff0f\u6291\u5236\u6027\u30d0\u30e9\u30f3\u30b9\u304c\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5f62\u6210\u306b\u53ca\u307c\u3059\u5f71\u97ff\u201d, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30cb\u30e5\u30fc\u30ed\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u7814\u7a76\u4f1a, Vol. 119, pp. 15-20, 2019.<\/li>\r\n<li>\u539f\u7530\u5c07\u656c\u30fb\u68ee\u6c5f\u9686\u30fb\u9ad8\u6a4b\u5149\u6075\u30fb\u9152\u4e95\u6ecb\u6a39\uff0c\u201c<span lang=\"EN-US\">FeFET<\/span>\u3092\u7528\u3044\u305f\u6642\u9593\u9818\u57df\u30a2\u30ca\u30ed\u30b0\u7a4d\u548c\u6f14\u7b97\u56de\u8def\u306e\u7279\u6027\u8a55\u4fa1\u201d\uff0c\u7b2c<span lang=\"EN-US\">66<\/span>\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u6625\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a\uff0c<span lang=\"EN-US\">2019\uff0e<\/span><\/li>\r\n<li>\r\n<p><span lang=\"EN-US\">Sumito Tsunegi<\/span><span lang=\"EN-US\">, <\/span><span lang=\"EN-US\">Tomohiro Taniguchi<\/span><span lang=\"EN-US\">, <\/span><span lang=\"EN-US\">Shinji Miwa<\/span><span lang=\"EN-US\">, <\/span><span lang=\"EN-US\">Kohei Nakajima<\/span><span lang=\"EN-US\">, <\/span><span lang=\"EN-US\">Kay Yakushiji<\/span><span lang=\"EN-US\">, <\/span><span lang=\"EN-US\">Akio Fukushima<\/span><span lang=\"EN-US\">, <\/span><span lang=\"EN-US\">Shinji Yuasa<\/span><span lang=\"EN-US\"> and <\/span><span lang=\"EN-US\">Hitoshi Kubota,\u00a0<\/span>\u201cThe effect of voltage on reservoir computing performance of a spin torque oscillator,\u201d \u7b2c66\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u6625\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2019\uff0e<\/p>\r\n<\/li>\r\n<li>\u5e38\u6728\u6f84\u4eba\u30fb\u8c37\u53e3\u77e5\u5927\u30fb\u4e09\u8f2a\u771f\u55e3\u30fb\u4e2d\u5d8b\u6d69\u5e73\u30fb\u85ac\u5e2b\u5bfa\u5553\u30fb\u798f\u5cf6\u7ae0\u96c4\u30fb\u6e6f\u6d45\u65b0\u6cbb\u30fb\u4e45\u4fdd\u7530\u5747, \u201c\u30b9\u30d4\u30f3\u30c8\u30eb\u30af\u767a\u632f\u7d20\u5b50\u306e\u77ed\u6642\u9593\u8a18\u61b6\u5bb9\u91cf\u201d, \u7b2c66\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u6625\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2019.<\/li>\r\n<li>\u5e38\u6728\u6f84\u4eba\u30fb\u8c37\u53e3\u77e5\u5927\u30fb\u4e09\u8f2a\u771f\u55e3\u30fb\u4e2d\u5d8b\u6d69\u5e73\u30fb\u85ac\u5e2b\u5bfa\u5553\u30fb\u798f\u5cf6\u7ae0\u96c4\u30fb\u6e6f\u6d45\u65b0\u6cbb\u30fb\u4e45\u4fdd\u7530\u5747\uff0c\u201c\u30b9\u30d4\u30f3\u30c8\u30eb\u30af\u767a\u632f\u7d20\u5b50\u306e\u77ed\u6642\u9593\u8a18\u61b6\u5bb9\u91cf\u201d\uff0c\u7b2c<span lang=\"EN-US\">66<\/span>\u56de\u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u6625\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a\uff0c<span lang=\"EN-US\">2019\uff0e<\/span><\/li>\r\n<li>\u4e45\u7c73\u5f18\u7950\u30fb\u5ddd\u7bc0\u62d3\u5b9f\u30fb\u5800\u4e95\u9686\u6597\u30fb\u77f3\u539f\u5c1a\u30fb\u6d45\u7530\u7a14\uff0c\u201c\u4e09\u89d2\u683c\u5b50\u72b6\u306b\u914d\u7f6e\u3057\u305f\u30b3\u30a4\u30eb\u3068\u78c1\u6027\u30de\u30fc\u30ab\u3092\u7528\u3044\u305f\u67d4\u8edf\u89e6\u899a\u30bb\u30f3\u30b5\u306e\u57fa\u790e\u7279\u6027\u8a55\u4fa1\u201d\uff0c\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a 2019\uff0c<span lang=\"EN-US\">2019\uff0e<\/span><\/li>\r\n<li>\u6c34\u91ce\u6d77\u6e21\u30fb\u5ddd\u7bc0\u62d3\u5b9f\u30fb\u77f3\u539f\u5c1a\u30fb\u5800\u4e95\u9686\u6597\u30fb\u6d45\u7530\u7a14\uff0c\u201c\u5b50\u4f9b\u30a2\u30f3\u30c9\u30ed\u30a4\u30c9\u306e\u63a5\u89e6\u53cd\u5fdc\u5b9f\u9a13\u306b\u5411\u3051\u305f\u9aa8\u683c\u3068\u89e6\u899a\u3092\u5099\u3048\u308b\u5c0f\u578b\u624b\u90e8\u306e\u958b\u767a<span lang=\"EN-US\">\u201d\uff0c<\/span>\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u00a0<span lang=\"EN-US\">2019<\/span>\uff0c<span lang=\"EN-US\">2019\uff0e<\/span><\/li>\r\n<\/ul>\r\n<h5>\u62db\u5f85\u8b1b\u6f14<\/h5>\r\n<ul>\r\n<li><span lang=\"EN-US\">\u68ee\u6c5f<\/span> <span lang=\"EN-US\">\u9686<\/span><span lang=\"EN-US\">,<\/span><span lang=\"EN-US\">\u00a0&#8220;\u6b21\u4e16\u4ee3\u4eba\u5de5\u77e5\u80fd\u306e\u305f\u3081\u306e<\/span><span lang=\"EN-US\">\u8133<\/span><span lang=\"EN-US\">\u578b\u96c6\u7a4d\u56de\u8def\u6280\u8853\u3068\u30c7\u30d0\u30a4\u30b9\u6280\u8853&#8221;<\/span><span lang=\"EN-US\">,<\/span> <span lang=\"EN-US\">\u7b2c<\/span><span lang=\"EN-US\">83<\/span><span lang=\"EN-US\">\u56de\u534a\u5c0e\u4f53<\/span><span lang=\"EN-US\">\u30fb<\/span><span lang=\"EN-US\">\u96c6\u7a4d\u56de\u8def\u6280\u8853\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08\u96fb<\/span><span lang=\"EN-US\">\u6c17<\/span><span lang=\"EN-US\">\u5316<\/span><span lang=\"EN-US\">\u5b66\u4f1a<\/span><span lang=\"EN-US\">\u3000\u96fb\u5b50\u6750\u6599\u59d4\u54e1<\/span><span lang=\"EN-US\">\u4f1a<\/span><span lang=\"EN-US\">\uff09<\/span><span lang=\"EN-US\">, \u00a02019<\/span><span lang=\"EN-US\">\u5e74<\/span><span lang=\"EN-US\">8<\/span><span lang=\"EN-US\">\u6708<\/span><span lang=\"EN-US\">29<\/span><span lang=\"EN-US\">\u65e5<\/span><span lang=\"EN-US\">, <\/span><span lang=\"EN-US\">\u6771\u4eac\u7406\u79d1\u5927\uff08\u6771\u4eac\uff09\uff0e<\/span><\/li>\r\n<li>\u68ee\u6c5f\u9686\u30fb\u539f\u7530\u5c07\u656c\u30fb\u9ad8\u6a4b\u5149\u6075\u30fb\u9152\u4e95\u6ecb\u6a39, \u201c3 \u7aef\u5b50\u30a2\u30ca\u30ed\u30b0\u30e1\u30e2\u30ea\u7d20\u5b50\u3068\u3057\u3066\u306eFeFET \u306e\u9069\u7528\u3092\u76ee\u6307\u3057\u305f\u4eba\u5de5\u77e5\u80fd\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u30e2\u30c7\u30eb\u3068\u56de\u8def\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u201d, \u5fdc\u7528\u7269\u7406\u5b66\u4f1a\u79cb\u5b63\u5b66\u8853\u8b1b\u6f14\u4f1a, 2019.<\/li>\r\n<\/ul>\r\n<h5>\u30d7\u30ec\u30b9\u767a\u8868<\/h5>\r\n<ul>\r\n<li>\r\n<p>\u5e38\u6728\u6f84\u4eba\u30fb\u8c37\u53e3\u77e5\u5927\u30fb\u85ac\u5e2b\u5bfa\u5553\u30fb\u6e6f\u6d45\u65b0\u6cbb\u30fb\u4e45\u4fdd\u7530\u5747\uff0c\u201c\u30ca\u30ce\u78c1\u77f3\u3092\u7528\u3044\u305f\u30ea\u30b6\u30d0\u30fc\u8a08\u7b97\u306e\u6027\u80fd\u3092\u5411\u4e0a\u201d\uff0c2019\u5e744\u670821\u65e5\uff0e<a href=\"https:\/\/www.aist.go.jp\/aist_j\/press_release\/pr2019\/pr20190422\/pr20190422.html\">\u3010\u7523\u7dcf\u7814\u30db\u30fc\u30e0\u30da\u30fc\u30b8\u3011<\/a><\/p>\r\n<\/li>\r\n<\/ul>\r\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>2019\u5e74\u30002020\u5e74\u30002021\u5e74\u30002022\u5e74\u30002023\u5e74 2023\u5e74 \u8ad6\u6587 Yuji Kawai, Jihoon Park, Ichiro Tsuda, and Minoru Asada. 2023. \u201cLearnin [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"sns_share_botton_hide":"","vkExUnit_sns_title":"","_vk_print_noindex":"","sitemap_hide":"","vkExUnit_sitemap":"","_veu_custom_css":"","veu_display_promotion_alert":"","_exclude_from_list_pages":"","vkexunit_cta_each_option":"","vkExUnit_childPageIndex":"","vkExUnit_pageList_ancestor":"","vkExUnit_contact_enable":"","_lightning_design_setting":[],"footnotes":""},"class_list":["post-13","page","type-page","status-publish","hentry"],"veu_head_title_object":{"title":"","add_site_title":""},"_links":{"self":[{"href":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/index.php\/wp-json\/wp\/v2\/pages\/13","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/index.php\/wp-json\/wp\/v2\/comments?post=13"}],"version-history":[{"count":57,"href":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/index.php\/wp-json\/wp\/v2\/pages\/13\/revisions"}],"predecessor-version":[{"id":484,"href":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/index.php\/wp-json\/wp\/v2\/pages\/13\/revisions\/484"}],"wp:attachment":[{"href":"http:\/\/www.ams.eng.osaka-u.ac.jp\/nedo-nmd\/index.php\/wp-json\/wp\/v2\/media?parent=13"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}