Information theory in auditory research

Hearing Research
Israel Nelken, Gal Chechik

Abstract

Mutual information (MI) is in increasing use as a way of quantifying neural responses. However, it is still considered with some doubts by many researchers, because it is not always clear what MI really measures, and because MI is hard to calculate in practice. This paper aims to clarify these issues. First, it provides an interpretation of mutual information as variability decomposition, similar to standard variance decomposition routinely used in statistical evaluations of neural data, except that the measure of variability is entropy rather than variance. Second, it discusses those aspects of the MI that makes its calculation difficult. The goal of this paper is to clarify when and how information theory can be used informatively and reliably in auditory neuroscience.

References

May 6, 1994·Science·John C MiddlebrooksD M Green
Jan 7, 2003·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Jonathan D Victor
Mar 5, 2003·Network : Computation in Neural Systems·G PolaStefano Panzeri
May 31, 2003·Proceedings of the National Academy of Sciences of the United States of America·Sheila Nirenberg, Peter E Latham
Mar 10, 2004·Neural Computation·Tatyana SharpeeWilliam Bialek
Jul 13, 2004·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Ilya NemenmanRob de Ruyter van Steveninck
Oct 16, 2004·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Anne HsuFrédéric E Theunissen
Mar 2, 2005·PLoS Biology·G Christopher SteckerJohn C Middlebrooks
Aug 19, 2005·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Steven M Chase, Eric D Young
Sep 1, 2005·Journal of Computational Neuroscience·Israel NelkenJan Schnupp
Oct 28, 2005·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Sean J SleeWilliam J Spain
Mar 24, 2006·Journal of Neurophysiology·Dina MoshitchIsrael Nelken

Citations

Jun 29, 2011·Proceedings of the National Academy of Sciences of the United States of America·M Martinez-GarciaRanulfo Romo
Jul 15, 2011·Journal of Neurophysiology·Tatyana O SharpeeAllison J Doupe
Mar 21, 2012·Neural Computation·Stuart YarrowPeggy Seriès
Dec 20, 2012·PloS One·Jasmine M S GrimsleyMark N Wallace
Jul 23, 2013·PloS One·Hirokazu TakahashiR Kanzaki
Oct 27, 2012·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·C Daniel Meliza, Daniel Margoliash
Dec 5, 2008·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Tobias OverathTimothy D Griffiths
Jan 22, 2014·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Stefano PanzeriChristoph Kayser
Jan 5, 2010·Trends in Neurosciences·Stefano PanzeriChristoph Kayser
Feb 26, 2008·Computer Methods and Programs in Biomedicine·Zhiguo YanHongbo Xie
Apr 9, 2010·IEEE Transactions on Information Theory·Mehdi AghagolzadehKarim Oweiss
Jul 3, 2013·Journal of Physiology, Paris·Mindy ChangTirin Moore
Mar 10, 2009·Hearing Research·Christoph KayserNikos K Logothetis
May 9, 2014·Frontiers in Systems Neuroscience·Gytis Baranauskas
Aug 16, 2013·Journal of Neurophysiology·Juan M AbolafiaM V Sanchez-Vives
Nov 16, 2007·Journal of Neurophysiology·Brian E RussYale E Cohen
Oct 10, 2019·Journal of Neurophysiology·Peng ZanJonathan Z Simon
Sep 3, 2020·Journal of Neurophysiology·Peng ZanJonathan Z Simon

Related Concepts

Acoustic Stimulation
Auditory Area
Auditory Pathway Structure
Auditory Perception
Information Theory

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