Information Loss in an Optimal Maximum Likelihood Decoding-Reference-Cited by-同舟云学术

Information Loss in an Optimal Maximum Likelihood Decoding

Published:2002-04-01 Issue:4 Volume:14 Page:771-779
ISSN:0899-7667
Container-title:Neural Computation
language:en
Short-container-title:Neural Computation

Author:

Samengo Inés¹

Affiliation:

1. Centro Atómico Bariloche, (8400) San Carlos de Bariloche, Río Negro, Argentina,

Abstract

The mutual information between a set of stimuli and the elicited neural responses is compared to the corresponding decoded information. The decoding procedure is presented as an artificial distortion of the joint probabilities between stimuli and responses. The information loss is quantified. Whenever the probabilities are only slightly distorted, the information loss is shown to be quadratic in the distortion.

Publisher

MIT Press - Journals

Subject

Cognitive Neuroscience,Arts and Humanities (miscellaneous)

Link

https://www.mitpressjournals.org/doi/pdf/10.1162/089976602317318947

Reference21 articles.

1. Role of inferior temporal neurons in visual memory. I. Temporal encoding of information about visual images, recalled images, and behavioral context

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4. How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?

5. Information flow and temporal coding in primate pattern vision

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