Taro Toyoizumi

Affiliations: 
RIKEN Brain Science Institute, Wakō-shi, Saitama-ken, Japan 
Area:
Computational Neuroscience
Google:
"Taro Toyoizumi"
Mean distance: 13.31 (cluster 17)
 
SNBCP
Cross-listing: Computational Biology Tree

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Publications

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Isomura T, Toyoizumi T. (2021) On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures. Neural Computation. 33: 1433-1468
Shimizu G, Yoshida K, Kasai H, et al. (2021) Computational roles of intrinsic synaptic dynamics. Current Opinion in Neurobiology. 70: 34-42
Kasai H, Ziv NE, Okazaki H, et al. (2021) Spine dynamics in the brain, mental disorders and artificial neural networks. Nature Reviews. Neuroscience
Kuśmierz Ł, Toyoizumi T. (2021) Infection curves on small-world networks are linear only in the vicinity of the critical point. Proceedings of the National Academy of Sciences of the United States of America. 118
Ito Y, Toyoizumi T. (2021) Learning poly-synaptic paths with traveling waves. Plos Computational Biology. 17: e1008700
Kuśmierz Ł, Ogawa S, Toyoizumi T. (2020) Edge of Chaos and Avalanches in Neural Networks with Heavy-Tailed Synaptic Weight Distribution. Physical Review Letters. 125: 028101
Kuśmierz Ł, Toyoizumi T. (2019) Robust random search with scale-free stochastic resetting. Physical Review. E. 100: 032110
Legaspi R, Toyoizumi T. (2019) A Bayesian psychophysics model of sense of agency. Nature Communications. 10: 4250
Munro Krull E, Sakata S, Toyoizumi T. (2019) Corrigendum: Theta Oscillations Alternate With High Amplitude Neocortical Population Within Synchronized States. Frontiers in Neuroscience. 13: 631
Humble J, Hiratsuka K, Kasai H, et al. (2019) Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder. Frontiers in Computational Neuroscience. 13: 38
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