Taro Toyoizumi

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Wulfram GERSTNERProfessor of Computer Science, EPFL, Brain Mind Institute, Ecole Polytechnique Federale de LausanneVerified email at epfl.ch
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
Łukasz KuśmierzDuke UniversityVerified email at duke.edu
Takuya IsomuraRIKEN Center for Brain ScienceVerified email at neuron.t.u-tokyo.ac.jp
Haiping Huangassociate prof in School of Physics, Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Michael StrykerProfessor of Physiology, UCSFVerified email at phy.ucsf.edu
David BarberDepartment of Computer Science, University College LondonVerified email at ucl.ac.uk
Kevin FoxCardiff UniversityVerified email at cardiff.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
Amari S*Verified email at brain.riken.jp
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorVerified email at columbia.edu
Yoshiyuki SatoTohoku UniversityVerified email at riec.tohoku.ac.jp
Naotaka FujiiRIKENVerified email at hacosco.com
Christopher L. BuckleyUniversity of SussexVerified email at sussex.ac.uk
Swamy, M.N.S.Propfessor of Electrical and Computer Eng., Concordia UniversityVerified email at ece.concordia.ca
Philip G HaydonTufts University School of MedicineVerified email at tufts.edu
Brent DoironProfessor of Neurobiology and Statistics, University of ChicagoVerified email at uchicago.edu

Taro Toyoizumi

RIKEN Center for Brain Science

Verified email at brain.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	258	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	169	2007
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	131	2005
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	115	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	111	2013
Spatial representations of self and other in the hippocampus T Danjo, T Toyoizumi, S Fujisawa Science 359 (6372), 213-218, 2018	99	2018
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	88	2011
Modeling the dynamic interaction of Hebbian and homeostatic plasticity T Toyoizumi, M Kaneko, MP Stryker, KD Miller Neuron 84 (2), 497-510, 2014	84	2014
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	62	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	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	56	2015
Self-tuning of neural circuits through short-term synaptic plasticity D Sussillo, T Toyoizumi, W Maass Journal of neurophysiology 97 (6), 4079-4095, 2007	50	2007
Learning with three factors: modulating Hebbian plasticity with errors Ł Kuśmierz, T Isomura, T Toyoizumi Current opinion in neurobiology 46, 170-177, 2017	47	2017
Fisher information for spike-based population decoding T Toyoizumi, K Aihara, S Amari Physical review letters 97 (9), 098102, 2006	45	2006
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	34	2005
A local learning rule for independent component analysis T Isomura, T Toyoizumi Scientific reports 6 (1), 1-17, 2016	33	2016
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	33	2009
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	32	2015
Advanced mean-field theory of the restricted Boltzmann machine H Huang, T Toyoizumi Physical Review E 91 (5), 050101, 2015	30	2015
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	24	2013

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