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Takuya Isomura

Showing results (1-10 of 30) with videos related to

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Entropy (Basel, Switzerland)|December 3, 2020
A Measure of Information Available for InferenceTakuya Isomura
Neuroscience Research|December 30, 2021
Active inference leads to Bayesian neurophysiologyTakuya Isomura
Neuroscience Research|February 13, 2026
Neuroscience Research Special Issue Toward a unified theory of prediction and actionTakuya Isomura
Neuroscience Research|January 26, 2026
Triple equivalence in modelling insight and creativity: classical and quantum perspectivesTakuya Isomura
Scientific Reports|February 1, 2018
Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component AnalysisTakuya Isomura, Taro Toyoizumi
Neural Computation|September 18, 2020
Reverse-Engineering Neural Networks to Characterize Their Cost FunctionsTakuya Isomura, Karl Friston
Frontiers in Computational Neuroscience|October 23, 2018
Task-Related Synaptic Changes Localized to Small Neuronal Population in Recurrent Neural Network Cortical ModelsSatoshi Kuroki, Takuya Isomura
Scientific Reports|May 11, 2019
Multi-context blind source separation by error-gated Hebbian ruleTakuya Isomura, Taro Toyoizumi
Neural Computation|September 8, 2021
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source MixturesTakuya Isomura, Taro Toyoizumi
Scientific Reports|November 18, 2018
In vitro neural networks minimise variational free energyTakuya Isomura, Karl Friston
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Entropy (Basel, Switzerland)|December 3, 2020
A Measure of Information Available for InferenceTakuya Isomura
Neuroscience Research|December 30, 2021
Active inference leads to Bayesian neurophysiologyTakuya Isomura
Neuroscience Research|February 13, 2026
Neuroscience Research Special Issue Toward a unified theory of prediction and actionTakuya Isomura
Neuroscience Research|January 26, 2026
Triple equivalence in modelling insight and creativity: classical and quantum perspectivesTakuya Isomura
Scientific Reports|February 1, 2018
Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component AnalysisTakuya Isomura, Taro Toyoizumi
Neural Computation|September 18, 2020
Reverse-Engineering Neural Networks to Characterize Their Cost FunctionsTakuya Isomura, Karl Friston
Frontiers in Computational Neuroscience|October 23, 2018
Task-Related Synaptic Changes Localized to Small Neuronal Population in Recurrent Neural Network Cortical ModelsSatoshi Kuroki, Takuya Isomura
Scientific Reports|May 11, 2019
Multi-context blind source separation by error-gated Hebbian ruleTakuya Isomura, Taro Toyoizumi
Neural Computation|September 8, 2021
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source MixturesTakuya Isomura, Taro Toyoizumi
Scientific Reports|November 18, 2018
In vitro neural networks minimise variational free energyTakuya Isomura, Karl Friston
Pageof 3