Literature DB >> 16999571

Spike count correlation increases with length of time interval in the presence of trial-to-trial variation.

Robert E Kass1, Valérie Ventura.   

Abstract

It has been observed that spike count correlation between two simultaneously recorded neurons often increases with the length of time interval examined. Under simple assumptions that are roughly consistent with much experimental data, we show that this phenomenon may be explained as being due to excess trial-to-trial variation. The resulting formula for the correlation is able to predict the observed correlation of two neurons recorded from primary visual cortex as a function of interval length.

Mesh:

Year:  2006        PMID: 16999571     DOI: 10.1162/neco.2006.18.11.2583

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  11 in total

Review 1.  Conditional modeling and the jitter method of spike resampling.

Authors:  Asohan Amarasingham; Matthew T Harrison; Nicholas G Hatsopoulos; Stuart Geman
Journal:  J Neurophysiol       Date:  2011-10-26       Impact factor: 2.714

Review 2.  Data-driven significance estimation for precise spike correlation.

Authors:  Sonja Grün
Journal:  J Neurophysiol       Date:  2009-01-07       Impact factor: 2.714

Review 3.  The mechanics of state-dependent neural correlations.

Authors:  Brent Doiron; Ashok Litwin-Kumar; Robert Rosenbaum; Gabriel K Ocker; Krešimir Josić
Journal:  Nat Neurosci       Date:  2016-03       Impact factor: 24.884

4.  Timescale-dependent shaping of correlation by olfactory bulb lateral inhibition.

Authors:  Sonya Giridhar; Brent Doiron; Nathaniel N Urban
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-21       Impact factor: 11.205

5.  Signatures of synchrony in pairwise count correlations.

Authors:  Tatjana Tchumatchenko; Theo Geisel; Maxim Volgushev; Fred Wolf
Journal:  Front Comput Neurosci       Date:  2010-04-08       Impact factor: 2.380

6.  Separating Spike Count Correlation from Firing Rate Correlation.

Authors:  Giuseppe Vinci; Valérie Ventura; Matthew A Smith; Robert E Kass
Journal:  Neural Comput       Date:  2016-03-04       Impact factor: 2.026

7.  Compressed and distributed sensing of neuronal activity for real time spike train decoding.

Authors:  Mehdi Aghagolzadeh; Karim Oweiss
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-02-03       Impact factor: 3.802

8.  The spatial structure of stimuli shapes the timescale of correlations in population spiking activity.

Authors:  Ashok Litwin-Kumar; Maurice J Chacron; Brent Doiron
Journal:  PLoS Comput Biol       Date:  2012-09-13       Impact factor: 4.475

9.  Functional connectivity and tuning curves in populations of simultaneously recorded neurons.

Authors:  Ian H Stevenson; Brian M London; Emily R Oby; Nicholas A Sachs; Jacob Reimer; Bernhard Englitz; Stephen V David; Shihab A Shamma; Timothy J Blanche; Kenji Mizuseki; Amin Zandvakili; Nicholas G Hatsopoulos; Lee E Miller; Konrad P Kording
Journal:  PLoS Comput Biol       Date:  2012-11-15       Impact factor: 4.475

10.  Correlation transfer from basal ganglia to thalamus in Parkinson's disease.

Authors:  Pamela Reitsma; Brent Doiron; Jonathan Rubin
Journal:  Front Comput Neurosci       Date:  2011-12-13       Impact factor: 2.380

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