Taro Toyoizumi

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Wulfram GerstnerEPFLVerified email at epfl.ch
Łukasz KuśmierzAllen InstituteVerified email at alleninstitute.org
Jean-Pascal PfisterProfessor of Theoretical Neuroscience, Institute of Neuroinformatics, University of Zurich and ETHVerified email at ini.uzh.ch
Kenneth D. MillerProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Takuya IsomuraRIKEN Center for Brain ScienceVerified email at riken.jp
Haiping HuangFull Professor in School of Physics, Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Michael StrykerProfessor of Physiology, UCSFVerified email at phy.ucsf.edu
Kevin FoxCardiff UniversityVerified email at cardiff.ac.uk
Haruo KasaiThe University of TokyoVerified email at m.u-tokyo.ac.jp
David BarberDepartment of Computer Science, University College LondonVerified email at ucl.ac.uk
Milad LankaranyThe Krembil Brain Institute - University Health Network (UHN)Verified email at uhnresearch.ca
Satohiro TajimaDepartment of Basic Neuroscience, University of GenevaVerified email at unige.ch
Takao HenschProfessor, Harvard UniversityVerified email at mcb.harvard.edu
Zhengqi HeRIKEN Center for Brain Science; Facility for Rare Isotope BeamsVerified email at frib.msu.edu
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorVerified email at columbia.edu
Amari S*Verified email at brain.riken.jp
Yoshiyuki SatoAichi Shukutoku UniversityVerified email at asu.aasa.ac.jp
Sho YagishitaThe University of TokyoVerified email at umin.ac.jp
Roberto LegaspiKDDI Research, Inc.Verified email at kddi-research.jp
Shigeyoshi FujisawaRIKEN Center for Brain ScienceVerified email at brain.riken.jp

Taro Toyoizumi

RIKEN Center for Brain Science

Verified email at riken.jp - Homepage

Computational Neuroscience Theoretical Neuroscience Information theory Statistical Physics


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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	294	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	200	2007
Spatial representations of self and other in the hippocampus T Danjo, T Toyoizumi, S Fujisawa Science 359 (6372), 213-218, 2018	182	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	177	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	154	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	151	2005
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	130	2011
Modeling the dynamic interaction of Hebbian and homeostatic plasticity T Toyoizumi, M Kaneko, MP Stryker, KD Miller Neuron 84 (2), 497-510, 2014	124	2014
Learning with three factors: modulating Hebbian plasticity with errors Ł Kuśmierz, T Isomura, T Toyoizumi Current opinion in neurobiology 46, 170-177, 2017	109	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	74	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	74	2015
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	66	2007
A Bayesian psychophysics model of sense of agency R Legaspi, T Toyoizumi Nature Communications 10 (1), 4250, 2019	58	2019
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
Self-tuning of neural circuits through short-term synaptic plasticity D Sussillo, T Toyoizumi, W Maass Journal of neurophysiology 97 (6), 4079-4095, 2007	54	2007
A local learning rule for independent component analysis T Isomura, T Toyoizumi Scientific reports 6 (1), 28073, 2016	49	2016
Fisher information for spike-based population decoding T Toyoizumi, K Aihara, S Amari Physical review letters 97 (9), 098102, 2006	47	2006
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	46	2015
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	40	2020
Advanced mean-field theory of the restricted Boltzmann machine H Huang, T Toyoizumi Physical Review E 91 (5), 050101, 2015	40	2015

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