Information theoretic approaches to understanding circuit function.

Abstract:

:The analysis of stimulus/response patterns using information theoretic approaches requires the full probability distribution of stimuli and response. Recent progress in using information-based tools to understand circuit function has advanced understanding of neural coding at the single cell and population level. In advances over traditional reverse correlation approaches, the determination of receptive fields using information as a metric has allowed novel insights into stimulus representation and transformation. The application of maximum entropy methods to population codes has opened a rich exploration of the internal structure of these codes, revealing stimulus-driven functional connectivity. We speculate about the prospects and limitations of information as a general tool for dissecting neural circuits and relating their structure and function.

journal_name

Curr Opin Neurobiol

authors

Fairhall A,Shea-Brown E,Barreiro A

doi

10.1016/j.conb.2012.06.005

subject

Has Abstract

pub_date

2012-08-01 00:00:00

pages

653-9

issue

4

eissn

0959-4388

issn

1873-6882

pii

S0959-4388(12)00104-3

journal_volume

22

pub_type

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