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Entropy (Basel, Switzerland)|June 26, 2024
On Predictive Planning and Counterfactual Learning in Active InferenceAswin Paul, Takuya Isomura, Adeel RaziCyborg and Bionic Systems (Washington, D.C.)|August 5, 2025
Dynamic Network Plasticity and Sample Efficiency in Biological Neural Cultures: A Comparative Study with Deep Reinforcement LearningMoein Khajehnejad, Forough Habibollahi, Alon Loeffler, et al.Neural Computation|March 3, 2025
Active Inference and Intentional BehaviorKarl J Friston, Tommaso Salvatori, Takuya Isomura, et al.Entropy (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 IsomuraNature Communications|May 16, 2022
A mathematical perspective on edge-centric brain functional connectivityLeonardo Novelli, Adeel RaziScientific 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 FristonPageof 13