KURIKAWA TOMOKI

Affiliation and department：
Job title： Associate Professor

Research field (5)： Basic brain sciences , Mathematical physics and basic theory , Intelligent informatics , Sensitivity (kansei) informatics , Soft computing

Research keywords (1)：包括脳ネットワーク

Research theme for competitive and other funds (6)：

2020 - 2024 大自由度生命システムの次元縮減:検証、理論化、生物状態論及び神経系学習への展開
2020 - 2023 神経発火パタンがつくる軌道構造による領野間通信機序の解明
2019 - 2022 霊長類セロトニン系の光操作による心と体の相互関係のメカニズムの解明
2018 - 2020 Dynamic communication between hippocampus and prefrontal cortex by disinhibitory regulation
2013 - 2016 自発的脳活動がもつ機能の解明に向けた力学系的アプローチ

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Papers (24)：

Ibuki Matsumoto, Sou Nobukawa, Takashi Kanamaru, Yusuke Sakemi, Nina Sviridova, Tomoki Kurikawa, Nobuhiko Wagatsuma, Kazuyuki Aihara. Neural activity responsiveness by maturation of inhibition underlying critical period plasticity. Frontiers in Neural Circuits. 2025. 18
Tomoki Kurikawa, Kunihiko Kaneko. Solvable neural network model for input-output associations: Optimal recall at the onset of chaos. Physical Review Research. 2023. 5. 4
Ibuki Matsumoto, Sou Nobukawa, Tomoki Kurikawa, Nobuhiko Wagatsuma, Yusuke Sakemi, Takashi Kanamaru, Nina Sviridova, Kazuyuki Aihara. Optimal Excitatory and Inhibitory Balance for High Learning Performance in Spiking Neural Networks with Long-Tailed Synaptic Weight Distributions. 2023 International Joint Conference on Neural Networks (IJCNN). 2023
Ibuki Matsumoto, Sou Nobukawa, Nobuhiko Wagatsuma, Tomoki Kurikawa. Functionality of neural dynamics induced by long-tailed synaptic distribution in reservoir computing. Nonlinear Theory and Its Applications, IEICE. 2023. 14. 2. 342-355
Ibuki Matsumoto, Sou Nobukawa, Nobuhiko Wagatsuma, Tomoki Kurikawa. Long-Tailed Distribution of Excitatory Postsynaptic Potentials Enhances Learning Performance of Liquid State Machine. International Symposium on Nonlinear Theory and Its Applications. 2022. B1L-E. 244-247

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MISC (9)：

栗川知己. 神経系における時間表現とその変調:マルチタイムスケールニューラルネットワークを用いたアプローチ. 信学技報. 2022. 121. 390. 139-142
栗川知己. マルチタイムスケールをもつニューラルネットワークによる、シークエンス情報の処理. 電子情報通信学会技術研究報告. 2020. 120. 216. 62-65
栗川知己. ニューラルネットワークの入力による分岐構造と学習による変化. 数理解析研究所講究録. 2013. 1827. 140-153
Tomoki kurikawa, Kunihiko Kaneko. 2PT224 Spontaneous and Evoked Neural Activities Shaped through A Sequential Learning Process(The 50th Annual Meeting of the Biophysical Society of Japan). Seibutsubutsuri. 2012. 52. 142-143
Kurikawa Tomoki, Kaneko Kunihiko. 22pPSA-73 Spontaneous activities and their response to external input. Meeting abstracts of the Physical Society of Japan. 2011. 66. 2. 247-247

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Lectures and oral presentations (42)：

Unveiling the Mechanism of Temporal Scaling in Neural Representations in a multiple-timescale model
(Neuroscience2023 2023)
Temporal scaling of the neural sequential patterns in a slow-fast neural network model
(JNNS2023 2023)
Unveiling the gap among the connectivity in neural networks, neural dynamics, and their response in hetero-associative task
(32nd Annual Computational Neuroscience Meeting 2023)
Collective dynamics of neural activities underlying cognitive functions and their computational role
(2023)
多次元神経活動のダイナミクスとしての認知機能
(生理学研究所研究会大脳皮質を中心とした神経回路: 構造と機能、その作動原理 2022)

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Education (1)：

2009 - 2012 東京大学大学院博士課程総合文化研究科

Professional career (1)：

博士(学術) (東京大学)

Association Membership(s) (4)：

Society for neuroscience , Japan physics society , Japanese Neural Network Society , The Japan Neuroscience Society

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