Accession Number:

AD1105888

Title:

Characterizing Neural Code from a Minimum-Description-Length Perspective

Descriptive Note:

Technical Report,30 Sep 2015,29 Sep 2019

Corporate Author:

TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK NEW YORK United States

Personal Author(s):

Report Date:

2020-06-17

Pagination or Media Count:

6.0

Abstract:

We have successfully completed the projects in our original proposal and also performed some additional, closely relatedstudies. 1 We have proposed a new theoretical framework for understanding sensory encoding based on the modernminimum-description-length principle. A key finding is our new hypothesis that firing rates of sensory projection neurons areproportional to optimal code length for stimulus features i.e., negative log estimated probability of stimulus features. This is insharp contrast to the traditional view that sensory neurons firing rates represent the probability of the neurons preferredstimulus in the input. 2 We have proposed a new theoretical framework for understanding visual decoding. Experimentalstudies have firmly established that encoding is hierarchical, progressing from lower-level representations of simpler and lessinvariant features to higher-level representations of more complex and invariant features along visual pathways

Subject Categories:

  • Psychology
  • Anatomy and Physiology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE