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2020 – today
- 2023
[c4]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. IJCNN 2023: 1-8- 2021
- [j4]Tomoki Kurikawa, Kunihiko Kaneko:
Multiple-Timescale Neural Networks: Generation of History-Dependent Sequences and Inference Through Autonomous Bifurcations. Frontiers Comput. Neurosci. 15: 743537 (2021) - [c3]Tomoki Kurikawa:
Transitions Among Metastable States Underlie Context-Dependent Working Memories in a Multiple Timescale Network. ICANN (1) 2021: 604-613 - [c2]Tomoki Kurikawa:
Intermediate Sensitivity of Neural Activities Induces the Optimal Learning Speed in a Multiple-Timescale Neural Activity Model. ICONIP (6) 2021: 64-72
2010 – 2019
- 2019
- [i1]Tomoki Kurikawa, Omri Barak, Kunihiko Kaneko:
Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network. CoRR abs/1906.11770 (2019) - 2015
- [j3]Tomoki Kurikawa, Kunihiko Kaneko:
Memories as bifurcations: Realization by collective dynamics of spiking neurons under stochastic inputs. Neural Networks 62: 25-31 (2015) - 2013
- [j2]Tomoki Kurikawa, Kunihiko Kaneko:
Embedding Responses in Spontaneous Neural Activity Shaped through Sequential Learning. PLoS Comput. Biol. 9(3) (2013) - 2012
- [j1]Tomoki Kurikawa, Kunihiko Kaneko:
Learning to memorize input-output mapping as bifurcation in neural dynamics: relevance of multiple timescales for synapse changes. Neural Comput. Appl. 21(4): 725-734 (2012) - 2010
- [c1]Tomoki Kurikawa, Kunihiko Kaneko:
Learning Shapes Bifurcations of Neural Dynamics upon External Stimuli. ICONIP (1) 2010: 155-162
Coauthor Index
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