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Takuya Isomura

Showing results (11-20 of 30) with videos related to

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Scientific Reports|June 22, 2016
A Local Learning Rule for Independent Component AnalysisTakuya Isomura, Taro Toyoizumi
Neural Networks : the Official Journal of the International Neural Network Society|November 25, 2025
Synaptic pruning facilitates online Bayesian model selectionUkyo T Tazawa, Takuya Isomura
Plos Computational Biology|December 23, 2015
Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy PrincipleTakuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo
Current Opinion in Neurobiology|September 18, 2017
Learning with three factors: modulating Hebbian plasticity with errorsŁukasz Kuśmierz, Takuya Isomura, Taro Toyoizumi
Entropy (Basel, Switzerland)|June 26, 2024
On Predictive Planning and Counterfactual Learning in Active InferenceAswin Paul, Takuya Isomura, Adeel Razi
Neural Computation|October 16, 2019
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social IntelligenceTakuya Isomura, Thomas Parr, Karl Friston
Communications Biology|January 15, 2022
Canonical neural networks perform active inferenceTakuya Isomura, Hideaki Shimazaki, Karl J Friston
Neural Computation|February 25, 2015
Accurate connection strength estimation based on variational bayes for detecting synaptic plasticityTakuya Isomura, Yutaro Ogawa, Kiyoshi Kotani, et al.
Neural Computation|July 9, 2016
Linking Neuromodulated Spike-Timing Dependent Plasticity with the Free-Energy PrincipleTakuya Isomura, Koji Sakai, Kiyoshi Kotani, et al.
Neural Computation|September 18, 2020
Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical CriterionYu Terada, Tomoyuki Obuchi, Takuya Isomura, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Scientific Reports|June 22, 2016
A Local Learning Rule for Independent Component AnalysisTakuya Isomura, Taro Toyoizumi
Neural Networks : the Official Journal of the International Neural Network Society|November 25, 2025
Synaptic pruning facilitates online Bayesian model selectionUkyo T Tazawa, Takuya Isomura
Plos Computational Biology|December 23, 2015
Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy PrincipleTakuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo
Current Opinion in Neurobiology|September 18, 2017
Learning with three factors: modulating Hebbian plasticity with errorsŁukasz Kuśmierz, Takuya Isomura, Taro Toyoizumi
Entropy (Basel, Switzerland)|June 26, 2024
On Predictive Planning and Counterfactual Learning in Active InferenceAswin Paul, Takuya Isomura, Adeel Razi
Neural Computation|October 16, 2019
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social IntelligenceTakuya Isomura, Thomas Parr, Karl Friston
Communications Biology|January 15, 2022
Canonical neural networks perform active inferenceTakuya Isomura, Hideaki Shimazaki, Karl J Friston
Neural Computation|February 25, 2015
Accurate connection strength estimation based on variational bayes for detecting synaptic plasticityTakuya Isomura, Yutaro Ogawa, Kiyoshi Kotani, et al.
Neural Computation|July 9, 2016
Linking Neuromodulated Spike-Timing Dependent Plasticity with the Free-Energy PrincipleTakuya Isomura, Koji Sakai, Kiyoshi Kotani, et al.
Neural Computation|September 18, 2020
Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical CriterionYu Terada, Tomoyuki Obuchi, Takuya Isomura, et al.
Pageof 3