Neural representation of probabilities for Bayesian inference
Volume: 38, Issue: 2, Pages: 315 - 323
Published: Jan 6, 2015
Abstract
Bayesian models are often successful in describing perception and behavior, but the neural representation of probabilities remains in question. There are several distinct proposals for the neural representation of probabilities, but they have not been directly compared in an example system. Here we consider three models: a non-uniform population code where the stimulus-driven activity and distribution of preferred stimuli in the population...
Paper Details
Title
Neural representation of probabilities for Bayesian inference
Published Date
Jan 6, 2015
Volume
38
Issue
2
Pages
315 - 323
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