Experimental validation of the free-energy principle with in vitro neural networks

Abstract Empirical applications of the free-energy principle are not straightforward because they entail a commitment to a particular process theory, especially at the cellular and synaptic levels. Using a recently established reverse engineering technique, we confirm the quantitative predictions of...

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Bibliographic Details
Main Authors: Takuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo, Karl J. Friston
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-40141-z