Taro Toyoizumi
Taro Toyoizumi
RIKEN Center for Brain Science
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Cited by
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Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning
JP Pfister, T Toyoizumi, D Barber, W Gerstner
Neural computation 18 (6), 1318-1348, 2006
Bayesian inference explains perception of unity and ventriloquism aftereffect: identification of common sources of audiovisual stimuli
Y Sato, T Toyoizumi, K Aihara
Neural computation 19 (12), 3335-3355, 2007
Spatial representations of self and other in the hippocampus
T Danjo, T Toyoizumi, S Fujisawa
Science 359 (6372), 213-218, 2018
Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions
T Keck, T Toyoizumi, L Chen, B Doiron, DE Feldman, K Fox, W Gerstner, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 372 …, 2017
A theory of the transition to critical period plasticity: inhibition selectively suppresses spontaneous activity
T Toyoizumi, H Miyamoto, Y Yazaki-Sugiyama, N Atapour, TK Hensch, ...
Neuron 80 (1), 51-63, 2013
Generalized Bienenstock–Cooper–Munro rule for spiking neurons that maximizes information transmission
T Toyoizumi, JP Pfister, K Aihara, W Gerstner
Proceedings of the National Academy of Sciences of the United States of …, 2005
Beyond the edge of chaos: Amplification and temporal integration by recurrent networks in the chaotic regime
T Toyoizumi, LF Abbott
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (5 …, 2011
Modeling the dynamic interaction of Hebbian and homeostatic plasticity
T Toyoizumi, M Kaneko, MP Stryker, KD Miller
Neuron 84 (2), 497-510, 2014
Learning with three factors: modulating Hebbian plasticity with errors
Ł Kuśmierz, T Isomura, T Toyoizumi
Current opinion in neurobiology 46, 170-177, 2017
Spine dynamics in the brain, mental disorders and artificial neural networks
H Kasai, NE Ziv, H Okazaki, S Yagishita, T Toyoizumi
Nature Reviews Neuroscience 22 (7), 407-422, 2021
Untangling brain-wide dynamics in consciousness by cross-embedding
S Tajima, T Yanagawa, N Fujii, T Toyoizumi
PLoS computational biology 11 (11), e1004537, 2015
A Bayesian psychophysics model of sense of agency
R Legaspi, T Toyoizumi
Nature Communications 10 (1), 4250, 2019
Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution
T Toyoizumi, JP Pfister, K Aihara, W Gerstner
Neural computation 19 (3), 639-671, 2007
Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness
T Toyoizumi, KR Rad, L Paninski
Neural computation 21 (5), 1203-1243, 2009
Self-tuning of neural circuits through short-term synaptic plasticity
D Sussillo, T Toyoizumi, W Maass
Journal of neurophysiology 97 (6), 4079-4095, 2007
A local learning rule for independent component analysis
T Isomura, T Toyoizumi
Scientific reports 6 (1), 28073, 2016
Edge of chaos and avalanches in neural networks with heavy-tailed synaptic weight distribution
Ł Kuśmierz, S Ogawa, T Toyoizumi
Physical Review Letters 125 (2), 028101, 2020
Simultaneous silence organizes structured higher-order interactions in neural populations
H Shimazaki, K Sadeghi, T Ishikawa, Y Ikegaya, T Toyoizumi
Scientific reports 5 (1), 9821, 2015
Fisher information for spike-based population decoding
T Toyoizumi, K Aihara, S Amari
Physical review letters 97 (9), 098102, 2006
Burst-time-dependent plasticity robustly guides ON/OFF segregation in the lateral geniculate nucleus
J Gjorgjieva, T Toyoizumi, SJ Eglen
PLoS computational biology 5 (12), e1000618, 2009
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