Takuya Isomura

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yasuhiko jimbouniversity of tokyoVerified email at neuron.t.u-tokyo.ac.jp
Karl FristonUniversity College LondonVerified email at ucl.ac.uk
Taro ToyoizumiRIKEN Center for Brain ScienceVerified email at riken.jp
Shimba KentaThe University of TokyoVerified email at neuron.t.u-tokyo.ac.jp
Thomas ParrUniversity of OxfordVerified email at ndcn.ox.ac.uk
Hideaki ShimazakiKyoto UniversityVerified email at i.kyoto-u.ac.jp
Chi Chung Alan FungCity University of Hong KongVerified email at cityu.edu.hk
Makio TorigoeRIKNE Center for Brain Science (CBS)Verified email at riken.jp
Łukasz KuśmierzAllen InstituteVerified email at alleninstitute.org
Koji SakaiNTT Basic Research LaboratoriesVerified email at hco.ntt.co.jp
Hitoshi OkamotoRIKEN Center for Brain Science (previously RIKEN Brain Science Institute)Verified email at riken.jp
Yoshiyuki KabashimaInstitute for Physics of Intelligence & Department of Physics, The University of TokyoVerified email at phys.s.u-tokyo.ac.jp
Tomoyuki ObuchiAssociate professor, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Yu TeradaSonyVerified email at ucsd.edu
Yuzo TakayamaShibaura Institute of TechnologyVerified email at shibaura-it.ac.jp
Manuel BaltieriAraya Inc.Verified email at araya.org
Takayuki HOSHINONagoya UniversityVerified email at f.mail.nagoya-u.ac.jp
Yuichiro YadaNagoya UniversityVerified email at f.mail.nagoya-u.ac.jp
Tatsuya HagaCiNet, National Institute of Information and Communications TechnologyVerified email at nict.go.jp
Satoshi KurokiOsaka Metropolitan UniversityVerified email at omu.ac.jp

Takuya Isomura

RIKEN Center for Brain Science

Verified email at riken.jp - Homepage

Neuroscience Artificial intelligence


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Learning with three factors: modulating Hebbian plasticity with errors Ł Kuśmierz, T Isomura, T Toyoizumi Current opinion in neurobiology 46, 170-177, 2017	133	2017
The emergence of synchrony in networks of mutually inferring neurons ER Palacios, T Isomura, T Parr, K Friston Scientific reports 9 (1), 6412, 2019	112	2019
Canonical neural networks perform active inference T Isomura, H Shimazaki, K Friston Communications Biology 5, 55, 2022	84	2022
Cultured cortical neurons can perform blind source separation according to the free-energy principle T Isomura, K Kotani, Y Jimbo PLoS computational biology 11 (12), e1004643, 2015	60	2015
A Local Learning Rule for Independent Component Analysis T Isomura, T Toyoizumi Scientific Reports 6, 28073, 2016	56	2016
In vitro neural networks minimise variational free energy T Isomura, K Friston Scientific Reports 8, 16926, 2018	53	2018
Axonal conduction slowing induced by spontaneous bursting activity in cortical neurons cultured in a microtunnel device K Shimba, K Sakai, T Isomura, K Kotani, Y Jimbo Integrative Biology 7 (1), 64-72, 2015	49	2015
Bayesian filtering with multiple internal models: toward a theory of social intelligence T Isomura, T Parr, K Friston Neural computation 31 (12), 2390-2431, 2019	46	2019
Kalman filters as the steady-state solution of gradient descent on variational free energy M Baltieri, T Isomura arXiv preprint arXiv:2111.10530, 2021	42	2021
Zebrafish capable of generating future state prediction error show improved active avoidance behavior in virtual reality M Torigoe, T Islam, H Kakinuma, CCA Fung, T Isomura, H Shimazaki, ... Nature Communications 12 (1), 5712, 2021	32	2021
Experimental validation of the free-energy principle with in vitro neural networks T Isomura, K Kotani, Y Jimbo, KJ Friston Nature Communications 14 (1), 4547, 2023	30	2023
Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component Analysis T Isomura, T Toyoizumi Scientific reports 8 (1), 1835, 2018	27	2018
Active inference leads to Bayesian neurophysiology T Isomura Neuroscience Research 175, 2022	25	2022
Federated inference and belief sharing KJ Friston, T Parr, C Heins, A Constant, D Friedman, T Isomura, C Fields, ... Neuroscience & Biobehavioral Reviews 156, 105500, 2024	21	2024
Reverse-engineering neural networks to characterize their cost functions T Isomura, K Friston Neural computation 32 (11), 2085-2121, 2020	17	2020
Dimensionality reduction to maximize prediction generalization capability T Isomura, T Toyoizumi Nature Machine Intelligence 3, 434-446, 2021	16	2021
Signal transfer within a cultured asymmetric cortical neuron circuit T Isomura, K Shimba, Y Takayama, A Takeuchi, K Kotani, Y Jimbo Journal of neural engineering 12 (6), 066023, 2015	14	2015
On the achievability of blind source separation for high-dimensional nonlinear source mixtures T Isomura, T Toyoizumi Neural Computation 33 (6), 1433-1468, 2021	12	2021
Spike-contrast: A novel time scale independent and multivariate measure of spike train synchrony M Ciba, T Isomura, Y Jimbo, A Bahmer, C Thielemann Journal of neuroscience methods 293, 136-143, 2018	11	2018
Multi-context blind source separation by error-gated Hebbian rule T Isomura, T Toyoizumi Scientific reports 9 (1), 7127, 2019	10	2019

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