Rchr
J-GLOBAL ID：201101096669924074
Update date: May. 01, 2024
KURIKAWA TOMOKI
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)：
Papers (23)：
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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
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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
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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
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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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Tomoki Kurikawa, Kunihiko Kaneko. Multiple-Timescale Neural Networks: Generation of History-Dependent Sequences and Inference Through Autonomous Bifurcations. Frontiers in Computational Neuroscience. 2021. 15
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MISC (9)：
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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
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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
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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
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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
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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)：
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Unveiling the Mechanism of Temporal Scaling in Neural Representations in a multiple-timescale model
(Neuroscience2023 2023)
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Temporal scaling of the neural sequential patterns in a slow-fast neural network model
(JNNS2023 2023)
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Unveiling the gap among the connectivity in neural networks, neural dynamics, and their response in hetero-associative task
(32nd Annual Computational Neuroscience Meeting 2023)
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Collective dynamics of neural activities underlying cognitive functions and their computational role
(2023)
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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)：
Association Membership(s) (4)：
Society for neuroscience
, Japan physics society
, Japanese Neural Network Society
, The Japan Neuroscience Society
