Optimal Encoding in Stochastic Latent-Variable Models

In this work we explore encoding strategies learned by statistical models of sensory coding in noisy spiking networks. Early stages of sensory communication in neural systems can be viewed as encoding channels in the information-theoretic sense. However, neural populations face constraints not commo...

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Bibliografske podrobnosti

Principais autores:	Michael E. Rule, Martino Sorbaro, Matthias H. Hennig
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2020-06-01
Serija:	Entropy
Teme:	information theory encoding neural networks sensory systems
Online dostop:	https://www.mdpi.com/1099-4300/22/7/714
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