Literature DB >> 12459297

A critical assessment of different measures of the information carried by correlated neuronal firing.

Stefano Panzeri1, Gianni Pola, Filippo Petroni, Malcolm P Young, Rasmus S Petersen.   

Abstract

Information theoretic measures have been proposed as a quantitative framework to clarify the role of correlated neuronal activity in the brain. In this paper we review some recent methods that allow precise assessments of the role of correlation in stimulus coding and decoding by the nervous system. We present new results that make explicit links between types of encoding and decoding mechanisms based on correlations. We illustrate the concepts by showing that the spike trains of pairs of neurons in rat somatosensory cortex can be decoded almost perfectly without including knowledge of correlation in the read-out model, although in this neural system correlations between spike times contribute appreciably to stimulus encoding.

Entities:  

Mesh:

Year:  2002        PMID: 12459297     DOI: 10.1016/s0303-2647(02)00075-8

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  6 in total

1.  Decoding neuronal spike trains: how important are correlations?

Authors:  Sheila Nirenberg; Peter E Latham
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-29       Impact factor: 11.205

Review 2.  The behavioral neuroscience of anuran social signal processing.

Authors:  Walter Wilczynski; Michael J Ryan
Journal:  Curr Opin Neurobiol       Date:  2010-09-20       Impact factor: 6.627

3.  Computational role of large receptive fields in the primary somatosensory cortex.

Authors:  Guglielmo Foffani; John K Chapin; Karen A Moxon
Journal:  J Neurophysiol       Date:  2008-04-09       Impact factor: 2.714

4.  Micropools of reliable area MT neurons explain rapid motion detection.

Authors:  Bryan M Krause; Geoffrey M Ghose
Journal:  J Neurophysiol       Date:  2018-08-01       Impact factor: 2.714

5.  Synergy, redundancy, and independence in population codes, revisited.

Authors:  Peter E Latham; Sheila Nirenberg
Journal:  J Neurosci       Date:  2005-05-25       Impact factor: 6.709

6.  Population decoding in rat barrel cortex: optimizing the linear readout of correlated population responses.

Authors:  Mehdi Adibi; James S McDonald; Colin W G Clifford; Ehsan Arabzadeh
Journal:  PLoS Comput Biol       Date:  2014-01-02       Impact factor: 4.475

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.