Takuya Isomura

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Dimensionality Reduction

Efficient Inference

Top Venues

Nat. Mach. Intell.

Publications

Aswin Paul, Takuya Isomura, Adeel Razi
On Predictive Planning and Counterfactual Learning in Active Inference. Entropy 26 (6) (2024)
Aswin Paul, Takuya Isomura, Adeel Razi
On Predictive planning and counterfactual learning in active inference. CoRR (2024)
Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
Active Inference and Intentional Behaviour. CoRR (2023)
Takuya Isomura, Taro Toyoizumi
Dimensionality reduction to maximize prediction generalization capability. Nat. Mach. Intell. 3 (5) (2021)
Manuel Baltieri, Takuya Isomura
Kalman filters as the steady-state solution of gradient descent on variational free energy. CoRR (2021)
Takuya Isomura, Taro Toyoizumi
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures. Neural Comput. 33 (6) (2021)
Takuya Isomura, Taro Toyoizumi
Publisher Correction: Dimensionality reduction to maximize prediction generalization capability. Nat. Mach. Intell. 3 (5) (2021)
Takuya Isomura
Quadratic speedup of global search using a biased crossover of two good solutions. CoRR (2021)
Takuya Isomura, Karl J. Friston
Reverse-Engineering Neural Networks to Characterize Their Cost Functions. Neural Comput. 32 (11) (2020)
Takuya Isomura, Taro Toyoizumi
Dimensionality reduction to maximize prediction generalization capability. CoRR (2020)
Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion. Neural Comput. 32 (11) (2020)
Takuya Isomura
Computational cost for determining an approximate global minimum using the selection and crossover algorithm. CoRR (2019)
Takuya Isomura, Thomas Parr, Karl J. Friston
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence. Neural Comput. 31 (12) (2019)
Satoshi Kuroki, Takuya Isomura
Task-Related Synaptic Changes Localized to Small Neuronal Population in Recurrent Neural Network Cortical Models. Frontiers Comput. Neurosci. 12 (2018)
Yu Terada, Tomoyuki Obuchi, Takuya Isomura, Yoshiyuki Kabashima
Objective and efficient inference for couplings in neuronal networks. NeurIPS (2018)
Takuya Isomura
A Measure of Information Available for Inference. Entropy 20 (7) (2018)
Takuya Isomura, Taro Toyoizumi
On the achievability of blind source separation for high-dimensional nonlinear source mixtures. CoRR (2018)
Yukimi Tanaka, Takuya Isomura, Kenta Shimba, Kiyoshi Kotani, Yasuhiko Jimbo
Neurogenesis Enhances Response Specificity to Spatial Pattern Stimulation in Hippocampal Cultures. IEEE Trans. Biomed. Eng. 64 (11) (2017)
Takuya Isomura, Koji Sakai, Kiyoshi Kotani, Yasuhiko Jimbo
Linking Neuromodulated Spike-Timing Dependent Plasticity with the Free-Energy Principle. Neural Comput. 28 (9) (2016)
Takuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo
Cultured Cortical Neurons Can Perform Blind Source Separation According to the Free-Energy Principle. PLoS Comput. Biol. 11 (12) (2015)
Takuya Isomura, Yutaro Ogawa, Kiyoshi Kotani, Yasuhiko Jimbo
Accurate Connection Strength Estimation Based on Variational Bayes for Detecting Synaptic Plasticity. Neural Comput. 27 (4) (2015)