Takuya Isomura

According to our database, Takuya Isomura authored at least 22 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Information mechanics: conservation and exchange.

Takuya Isomura

CoRR, January, 2026

Synaptic pruning facilitates online Bayesian model selection.

Ukyo T. Tazawa, Takuya Isomura

Neural Networks, 2026

2025

Active Inference and Intentional Behavior.

Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead

Neural Comput., 2025

2024

On Predictive Planning and Counterfactual Learning in Active Inference.

Aswin Paul, Takuya Isomura, Adeel Razi

Entropy, June, 2024

Real-World Robot Control Based on Contrastive Deep Active Inference With Demonstrations.

Kentaro Fujii, Takuya Isomura, Shingo Murata

IEEE Access, 2024

2023

Active Inference and Intentional Behaviour.

Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead

CoRR, 2023

2021

On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures.

Takuya Isomura, Taro Toyoizumi

Neural Comput., 2021

Publisher Correction: Dimensionality reduction to maximize prediction generalization capability.

Takuya Isomura, Taro Toyoizumi

Nat. Mach. Intell., 2021

Dimensionality reduction to maximize prediction generalization capability.

Takuya Isomura, Taro Toyoizumi

Nat. Mach. Intell., 2021

Kalman filters as the steady-state solution of gradient descent on variational free energy.

Manuel Baltieri, Takuya Isomura

CoRR, 2021

Quadratic speedup of global search using a biased crossover of two good solutions.

Takuya Isomura

CoRR, 2021

2020

Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion.

Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima

Neural Comput., 2020

Reverse-Engineering Neural Networks to Characterize Their Cost Functions.

Takuya Isomura, Karl J. Friston

Neural Comput., 2020

2019

Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence.

Takuya Isomura, Thomas Parr, Karl J. Friston

Neural Comput., 2019

Computational cost for determining an approximate global minimum using the selection and crossover algorithm.

Takuya Isomura

CoRR, 2019

2018

Task-Related Synaptic Changes Localized to Small Neuronal Population in Recurrent Neural Network Cortical Models.

Satoshi Kuroki, Takuya Isomura

Frontiers Comput. Neurosci., 2018

A Measure of Information Available for Inference.

Takuya Isomura

Entropy, 2018

Objective and efficient inference for couplings in neuronal networks.

Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Neurogenesis Enhances Response Specificity to Spatial Pattern Stimulation in Hippocampal Cultures.

Yukimi Tanaka, Takuya Isomura, Kenta Shimba, Kiyoshi Kotani, Yasuhiko Jimbo

IEEE Trans. Biomed. Eng., 2017

2016

Linking Neuromodulated Spike-Timing Dependent Plasticity with the Free-Energy Principle.

Takuya Isomura, Koji Sakai, Kiyoshi Kotani, Yasuhiko Jimbo

Neural Comput., 2016

2015

Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy Principle.

Takuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo

PLoS Comput. Biol., 2015

Accurate Connection Strength Estimation Based on Variational Bayes for Detecting Synaptic Plasticity.

Takuya Isomura, Yutaro Ogawa, Kiyoshi Kotani, Yasuhiko Jimbo

Neural Comput., 2015