| Neuronal stability in medial frontal cortex sets individual variability in decision-making T Kurikawa, T Haga, T Handa, R Harukuni, T Fukai Nature Neuroscience 21 (12), 1764-1773, 2018 | 24 | 2018 |
| Embedding responses in spontaneous neural activity shaped through sequential learning T Kurikawa, K Kaneko PLoS computational biology 9 (3), e1002943, 2013 | 23 | 2013 |
| Associative memory model with spontaneous neural activity T Kurikawa, K Kaneko Europhysics Letters 98 (4), 48002, 2012 | 13 | 2012 |
| Oscillation-driven memory encoding, maintenance, and recall in an entorhinal–hippocampal circuit model T Kurikawa, K Mizuseki, T Fukai Cerebral Cortex 31 (4), 2038-2057, 2021 | 10 | 2021 |
| Multiple-timescale neural networks: generation of history-dependent sequences and inference through autonomous bifurcations T Kurikawa, K Kaneko Frontiers in Computational Neuroscience 15, 743537, 2021 | 8 | 2021 |
| Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network T Kurikawa, O Barak, K Kaneko Physical Review Research 2 (2), 023307, 2020 | 8 | 2020 |
| Dynamic organization of hierarchical memories T Kurikawa, K Kaneko Plos one 11 (9), e0162640, 2016 | 8 | 2016 |
| Learning to memorize input--output mapping as bifurcation in neural dynamics: relevance of multiple timescales for synapse changes T Kurikawa, K Kaneko Neural Computing and Applications 21, 725-734, 2012 | 8 | 2012 |
| Memories as bifurcations: Realization by collective dynamics of spiking neurons under stochastic inputs T Kurikawa, K Kaneko Neural Networks 62, 25-31, 2015 | 7 | 2015 |
| Learning shapes spontaneous activity itinerating over memorized states T Kurikawa, K Kaneko PLoS One 6 (3), e17432, 2011 | 7 | 2011 |
| Functionality of neural dynamics induced by long-tailed synaptic distribution in reservoir computing I Matsumoto, S Nobukawa, N Wagatsuma, T Kurikawa Nonlinear Theory and Its Applications, IEICE 14 (2), 342-355, 2023 | 4 | 2023 |
| Transitions among metastable states underlie context-dependent working memories in a multiple timescale network T Kurikawa arXiv preprint arXiv:2104.10829, 2021 | 3 | 2021 |
| Optimal excitatory and inhibitory balance for high learning performance in spiking neural networks with long-tailed synaptic weight distributions I Matsumoto, S Nobukawa, T Kurikawa, N Wagatsuma, Y Sakemi, ... 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 2 | 2023 |
| Long-tailed distribution of excitatory postsynaptic potentials enhances learning performance of liquid state machine I Matsumoto, S Nobukawa, N Wagatsuma, T Kurikawa IEICE Proceedings Series 71 (B1L-E-01), 2022 | 2 | 2022 |
| Intermediate sensitivity of neural activities induces the optimal learning speed in a multiple-timescale neural activity model T Kurikawa Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 1 | 2021 |
| Individual differences in perceptual decision making reflect neural variability in medial frontal cortex T Kurikawa, T Handa, T Fukai bioRxiv, 139493, 2017 | 1 | 2017 |
| Learning shapes bifurcations of neural dynamics upon external stimuli T Kurikawa, K Kaneko Neural Information Processing. Theory and Algorithms: 17th International …, 2010 | 1 | 2010 |
| Decomposed frontal corticostriatal ensemble activity changes across trials, revealing distinct features relevant to outcome-based decision making T Handa, T Fukai, T Kurikawa bioRxiv, 2024.03. 23.586395, 2024 | | 2024 |
| Solvable neural network model for input-output associations: Optimal recall at the onset of chaos T Kurikawa, K Kaneko Physical Review Research 5 (4), 043221, 2023 | | 2023 |
| 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 栗川知己 電子情報通信学会技術研究報告; 信学技報 121 (390), 139-142, 2022 | | 2022 |
