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Frontiers in Computational Neuroscience|October 23, 2018
Task-Related Synaptic Changes Localized to Small Neuronal Population in Recurrent Neural Network Cortical ModelsSatoshi Kuroki, Takuya IsomuraEntropy (Basel, Switzerland)|December 3, 2020
A Measure of Information Available for InferenceTakuya IsomuraNeuroscience Research|December 30, 2021
Active inference leads to Bayesian neurophysiologyTakuya IsomuraNeuroscience Research|January 26, 2026
Triple equivalence in modelling insight and creativity: classical and quantum perspectivesTakuya IsomuraScientific Reports|February 1, 2018
Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component AnalysisTakuya Isomura, Taro ToyoizumiNeural Computation|September 18, 2020
Reverse-Engineering Neural Networks to Characterize Their Cost FunctionsTakuya Isomura, Karl FristonScientific Reports|November 18, 2018
In vitro neural networks minimise variational free energyTakuya Isomura, Karl FristonScientific Reports|June 22, 2016
A Local Learning Rule for Independent Component AnalysisTakuya Isomura, Taro ToyoizumiScientific Reports|May 11, 2019
Multi-context blind source separation by error-gated Hebbian ruleTakuya Isomura, Taro ToyoizumiNeural Computation|September 8, 2021
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source MixturesTakuya Isomura, Taro ToyoizumiPageof 4