Takuya Isomura
Takuya Isomura
RIKEN Center for Brain Science
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Cited by
Cited by
Learning with three factors: modulating Hebbian plasticity with errors
Ł Kuśmierz, T Isomura, T Toyoizumi
Current opinion in neurobiology 46, 170-177, 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
Canonical neural networks perform active inference
T Isomura, H Shimazaki, K Friston
Communications Biology 5, 55, 2022
A Local Learning Rule for Independent Component Analysis
T Isomura, T Toyoizumi
Scientific Reports 6, 28073, 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
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
In vitro neural networks minimise variational free energy
T Isomura, K Friston
Scientific Reports 8, 16926, 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
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
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
Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component Analysis
T Isomura, T Toyoizumi
Scientific reports 8 (1), 1835, 2018
Active inference leads to Bayesian neurophysiology
T Isomura
Neuroscience Research 175, 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
Reverse-engineering neural networks to characterize their cost functions
T Isomura, K Friston
Neural computation 32 (11), 2085-2121, 2020
Dimensionality reduction to maximize prediction generalization capability
T Isomura, T Toyoizumi
Nature Machine Intelligence 3, 434-446, 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
On the achievability of blind source separation for high-dimensional nonlinear source mixtures
T Isomura, T Toyoizumi
Neural Computation 33 (6), 1433-1468, 2021
Multi-context blind source separation by error-gated Hebbian rule
T Isomura, T Toyoizumi
Scientific reports 9 (1), 7127, 2019
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
A Measure of Information Available for Inference
T Isomura
Entropy 20 (7), 512, 2018
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