Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains

Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains

We consider the maximum entropy Markov chain inference approach to characterize the collective statistics of neuronal spike trains, focusing on the statistical properties of the inferred model. To find the maximum entropy Markov chain, we use the thermodynamic formalism, which provides insightful co...

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Bibliographic Details
Main Authors: Rodrigo Cofré, Cesar Maldonado, Fernando Rosas
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Entropy
Subjects:
computational neuroscience
spike train statistics
maximum entropy principle
large deviation theory
out-of-equilibrium statistical mechanics
thermodynamic formalism
entropy production
Online Access:http://www.mdpi.com/1099-4300/20/8/573

Internet

http://www.mdpi.com/1099-4300/20/8/573

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