{"id":8118,"date":"2018-09-25T16:34:04","date_gmt":"2018-09-25T07:34:04","guid":{"rendered":"http:\/\/ircn.jp\/?page_id=8118"},"modified":"2025-04-09T16:33:51","modified_gmt":"2025-04-09T07:33:51","slug":"kantaro_fujiwara","status":"publish","type":"page","link":"https:\/\/ircn.jp\/en\/mission\/people\/kantaro_fujiwara","title":{"rendered":"Kantaro Fujiwara, Ph.D."},"content":{"rendered":"\r\n\r\n
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Kantaro Fujiwara, Ph.D.<\/a><\/p>\r\n <\/h2>\r\n

\r\n Data Science Core\u3000Core Manager<\/a>\r\n <\/p>\r\n

\r\n Associate Professor, Graduate School of Medicine (Continues as IRCN Associate Professor (concurrent appointment))\r\n <\/p>\r\n

[Website]<\/font color=#0000ff><\/a><\/p>\r\n

\r\n Computational Neuroscience, Neural Data Analysis and its Applications\r\n <\/p>\r\n <\/div>\r\n<\/div>\r\n\r\n

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Research<\/h2>\r\n

\r\nNeuroscience is an interdisciplinary research field that is linked by a wide variety of research fields. Theoretical approaches to neuroscience have helped to introduce new ideas and shape directions of neuroscience research. In modern neuroscience, theoretical neuroscience is assuming an increasingly important role due to big data obtained by experimental measurement and the recent development of artificial intelligence. In my current work, I focus on theories of neuronal data analysis and neural network modeling with the aim of bridging the gap between experimental and theoretical neuroscience studies. I also work on algorithmic study on brain-inspired machine learning. \r\n <\/p>\r\n <\/div>\r\n

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Publications<\/h2>\r\n
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\r\nZiqiang Li, Kantaro Fujiwara, Gouhei Tanaka, \u201cDynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification\u201d, Communications in Computer and Information Science, Vo. 1964, pp. 523-534, 2023. <\/p>\r\n

\r\nZiqiang Li, Kantaro Fujiwara, Gouhei Tanaka, \u201cAn Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data\u201d, Lecture Notes in Computer Science, Vol. 14257, pp. 13-25, 2023. <\/p>\r\n

\r\nKeita Koyama, Hiroyasu Ando, Kantaro Fujiwara, \"Functional improvement in \u03b2 cell models of type 2 diabetes using on-demand feedback control\", AIP Advances, 13, 045317, 2023. <\/p>\r\n

\r\nRyota Nomura, Kantaro Fujiwara, Tohru Ikeguchi, \"Superposed recurrence plots for reconstructing a common input applied to neurons\", Physical Review E, 106, 034205, 2022. <\/p>\r\n

\r\nKotaro Kasahara, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi, \"Analysis on the mechanism of enhancing insulin secretion by TRPM2 channel in a pancreatic \u03b2-cell\", Nonlinear Theory and Its Applications, IEICE, Vol. 12, No.3, pp. 500-511, 2021. <\/p>\r\n

\r\nRyota Nomura, Ying-Zong Liang, Kenji Morita, Kantaro Fujiwara, Tohru Ikeguchi, \"Threshold-varying integrate-and-fire model reproduces distributions of spontaneous blink intervals\", PLOS ONE, 13(10) e0206528, 2018. <\/p>\r\n

\r\nToshihiro Kobayashi, Yutaka Shimada, Kantaro Fujiwara, Tohru Ikeguchi, \u201cReproducing Infra-Slow Oscillations with Dopaminergic Modulation\u201d, Scientific Reports, 7: 2411, 2017. <\/p>\r\n <\/div>\r\n <\/div>\r\n

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Biography<\/h2>\r\n

\r\nI received a Ph. D. in Information Science and Technology from the University of Tokyo. I studied computational neuroscience, especially the mathematical modeling of single neurons, and neural network modeling of learning and adaptation. As a postdoctoral researcher for JSPS, I studied data analysis of neural systems, including a theory for neural spike train analysis. As an Assistant Professor at Saitama University and Tokyo University of Science, I studied nonlinear mathematics and its applications. Current, I am aiming to bridge the gap between experimental and theoretical neuroscience. I also manage the data science core servers and software for the IRCN community.\r\n <\/p>\r\n <\/div>\r\n\r\n

\r\n \r\n <\/i> Back to Index<\/a>\r\n <\/div>\r\n<\/section>","protected":false},"excerpt":{"rendered":"Kantaro Fujiwara, Ph.D. Data Science Core\u3000Core Manager Associate Professor, Graduate School of Medicine (Continues as IRCN Associate Professor (concurrent appointment)) [Website] Computational Neurosc […]","protected":false},"author":7,"featured_media":0,"parent":6119,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-people.php","meta":{"_links_to":"","_links_to_target":""},"acf":[],"aioseo_notices":[],"jetpack_shortlink":"https:\/\/wp.me\/P9Xf4o-26W","_links":{"self":[{"href":"https:\/\/ircn.jp\/en\/wp-json\/wp\/v2\/pages\/8118"}],"collection":[{"href":"https:\/\/ircn.jp\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ircn.jp\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ircn.jp\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/ircn.jp\/en\/wp-json\/wp\/v2\/comments?post=8118"}],"version-history":[{"count":17,"href":"https:\/\/ircn.jp\/en\/wp-json\/wp\/v2\/pages\/8118\/revisions"}],"predecessor-version":[{"id":31506,"href":"https:\/\/ircn.jp\/en\/wp-json\/wp\/v2\/pages\/8118\/revisions\/31506"}],"up":[{"embeddable":true,"href":"https:\/\/ircn.jp\/en\/wp-json\/wp\/v2\/pages\/6119"}],"wp:attachment":[{"href":"https:\/\/ircn.jp\/en\/wp-json\/wp\/v2\/media?parent=8118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}