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...

Full description

Bibliographic Details
Main Authors: Michael E. Rule, Martino Sorbaro, Matthias H. Hennig
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/7/714