Taro Toyoizumi
Taro Toyoizumi
RIKEN Center for Brain Science
Verified email at brain.riken.jp - Homepage
Title
Cited by
Cited by
Year
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
2582006
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
1672007
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
1302005
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
1082017
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
1082013
Spatial representations of self and other in the hippocampus
T Danjo, T Toyoizumi, S Fujisawa
Science 359 (6372), 213-218, 2018
972018
Beyond the edge of chaos: Amplification and temporal integration by recurrent networks in the chaotic regime
T Toyoizumi, LF Abbott
Physical Review E 84 (5), 051908, 2011
852011
Modeling the dynamic interaction of Hebbian and homeostatic plasticity
T Toyoizumi, M Kaneko, MP Stryker, KD Miller
Neuron 84 (2), 497-510, 2014
822014
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
622007
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
57*2009
Untangling brain-wide dynamics in consciousness by cross-embedding
S Tajima, T Yanagawa, N Fujii, T Toyoizumi
PLoS computational biology 11 (11), e1004537, 2015
542015
Self-tuning of neural circuits through short-term synaptic plasticity
D Sussillo, T Toyoizumi, W Maass
Journal of neurophysiology 97 (6), 4079-4095, 2007
482007
Learning with three factors: modulating Hebbian plasticity with errors
Ł Kuśmierz, T Isomura, T Toyoizumi
Current opinion in neurobiology 46, 170-177, 2017
442017
Fisher information for spike-based population decoding
T Toyoizumi, K Aihara, S Amari
Physical review letters 97 (9), 098102, 2006
442006
Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model
T Toyoizumi, JP Pfister, K Aihara, W Gerstner
Advances in Neural Information Processing Systems 17, 1409-1416, 2005
332005
Burst-time-dependent plasticity robustly guides ON/OFF segregation in the lateral geniculate nucleus
J Gjorgjieva, T Toyoizumi, SJ Eglen
PLoS Comput Biol 5 (12), e1000618, 2009
322009
Simultaneous silence organizes structured higher-order interactions in neural populations
H Shimazaki, K Sadeghi, T Ishikawa, Y Ikegaya, T Toyoizumi
Scientific reports 5 (1), 1-13, 2015
312015
A local learning rule for independent component analysis
T Isomura, T Toyoizumi
Scientific reports 6 (1), 1-17, 2016
302016
Advanced mean-field theory of the restricted Boltzmann machine
H Huang, T Toyoizumi
Physical Review E 91 (5), 050101, 2015
292015
Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering
M Lankarany, WP Zhu, S Swamy, T Toyoizumi
Frontiers in Computational Neuroscience 7, 109, 2013
242013
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Articles 1–20