| Learning with three factors: modulating Hebbian plasticity with errors Ł Kuśmierz, T Isomura, T Toyoizumi Current opinion in neurobiology 46, 170-177, 2017 | 124 | 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 | 101 | 2019 |
| Canonical neural networks perform active inference T Isomura, H Shimazaki, K Friston Communications Biology 5, 55, 2022 | 70 | 2022 |
| A Local Learning Rule for Independent Component Analysis T Isomura, T Toyoizumi Scientific Reports 6, 28073, 2016 | 53 | 2016 |
| 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 | 52 | 2015 |
| 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 |
| In vitro neural networks minimise variational free energy T Isomura, K Friston Scientific Reports 8, 16926, 2018 | 46 | 2018 |
| 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 |
| 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 | 40 | 2019 |
| 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 | 27 | 2021 |
| Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component Analysis T Isomura, T Toyoizumi Scientific reports 8 (1), 1835, 2018 | 26 | 2018 |
| Active inference leads to Bayesian neurophysiology T Isomura Neuroscience Research 175, 2022 | 22 | 2022 |
| 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 | 19 | 2023 |
| Reverse-engineering neural networks to characterize their cost functions T Isomura, K Friston Neural computation 32 (11), 2085-2121, 2020 | 16 | 2020 |
| Dimensionality reduction to maximize prediction generalization capability T Isomura, T Toyoizumi Nature Machine Intelligence 3, 434-446, 2021 | 15 | 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 | 10 | 2018 |
| Temporal relation between neural activity and neurite pruning on a numerical model and a microchannel device with micro electrode array Y Kondo, Y Yada, T Haga, Y Takayama, T Isomura, Y Jimbo, O Fukayama, ... Biochemical and Biophysical Research Communications 486 (2), 539-544, 2017 | 10 | 2017 |
| Federated inference and belief sharing KJ Friston, T Parr, C Heins, A Constant, D Friedman, T Isomura, C Fields, ... Neuroscience & Biobehavioral Reviews, 105500, 2023 | 9 | 2023 |
yasuhiko jimbouniversity of tokyo在 neuron.t.u-tokyo.ac.jp 的电子邮件经过验证
