Optimal stimulus coding by neural populations using rate codes
Author
Johnson, Don; Ray, Will
Date
2002-09-20Abstract
We create a framework based on Fisher information for determining the most effective population coding scheme for representing a continuous-valued stimulus attribute over its entire range. Using this scheme, we derive optimal single- and multi-neuron rate codes for homogeneous populations using several statistical models frequently used to describe neural data. We show that each neuron's discharge rate should increase quadratically with the stimulus and that statistically independent neural outputs provides optimal coding. Only cooperative populations can achieve this condition in an informationally effective way.
Description
Journal Paper
Citation
Published Version
Keyword
Type
Journal article
Citable link to this page
https://hdl.handle.net/1911/19972Metadata
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