Taro Toyoizumi

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

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Okazaki H, Hayashi-Takagi A, Nagaoka A, et al. (2018) Calcineurin knockout mice show a selective loss of small spines. Neuroscience Letters
Isomura T, Toyoizumi T. (2018) Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component Analysis. Scientific Reports. 8: 1835
Buckley CL, Toyoizumi T. (2018) A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback. Plos Computational Biology. 14: e1005926
Danjo T, Toyoizumi T, Fujisawa S. (2018) Spatial representations of self and other in the hippocampus. Science (New York, N.Y.). 359: 213-218
Kuśmierz Ł, Toyoizumi T. (2017) Emergence of Lévy Walks from Second-Order Stochastic Optimization. Physical Review Letters. 119: 250601
Kuśmierz Ł, Isomura T, Toyoizumi T. (2017) Learning with three factors: modulating Hebbian plasticity with errors. Current Opinion in Neurobiology. 46: 170-177
Tajima S, Mita T, Bakkum DJ, et al. (2017) Locally embedded presages of global network bursts. Proceedings of the National Academy of Sciences of the United States of America
Keck T, Toyoizumi T, Chen L, et al. (2017) Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 372
Huang H, Toyoizumi T. (2016) Unsupervised feature learning from finite data by message passing: Discontinuous versus continuous phase transition. Physical Review. E. 94: 062310
Lankarany M, Heiss JE, Lampl I, et al. (2016) Simultaneous Bayesian Estimation of Excitatory and Inhibitory Synaptic Conductances by Exploiting Multiple Recorded Trials. Frontiers in Computational Neuroscience. 10: 110
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