Identifying Effective Connectivity between Stochastic Neurons with Variable-Length Memory Using a Transfer Entropy Rate Estimator

Identifying Effective Connectivity between Stochastic Neurons with Variable-Length Memory Using a Transfer Entropy Rate Estimator

Information theory explains how systems encode and transmit information. This article examines the neuronal system, which processes information via neurons that react to stimuli and transmit electrical signals. Specifically, we focus on transfer entropy to measure the flow of information between seq...

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Bibliographic Details
Main Authors: João V. R. Izzi, Ricardo F. Ferreira, Victor A. Girardi, Rodrigo F. O. Pena
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Brain Sciences
Subjects:
effective connectivity
transfer entropy
conditional independence
causality
hypothesis testing
interacting variable-length Markov chains
Online Access:https://www.mdpi.com/2076-3425/14/5/442

Internet

https://www.mdpi.com/2076-3425/14/5/442

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