Paper Info
Title
On artefactual spike train cross-correlations
Abstract
Peaks in spike train cross-correlograms are usually taken as indicative of spike timing synchronization between two neurons, and the peak width is usually taken as indicative of the timescale of interaction. However, a peak merely indicates that the two neurons did not fire independently [2], and the peak width is a function of other variables as well as of the interaction timescale [3] Correlogram peaks generated by Interactions without any spike synchronization at all can be very similar to those generated by spike synchronization [2], and can thus be easily misinterpreted as being due to synchronization. Here, simple Poisson models generating such misinterpretable peaks are illustrated and their analytical form is presented. Methods to distinguish different types of covariations [4] are applied to spike train correlograms from a model of lateral geniculate nucleus (LGN) neurons. (C) 1999 Elsevier Science B.V. All rights reserved.
Year
DOI
Venue
1999
10.1016/S0925-2312(99)00091-0
NEUROCOMPUTING
Keywords
Field
DocType
spiking neurons,cross-correlation,synchrony
Cross-correlation,Synchronization,Spike train,Pattern recognition,Artificial intelligence,Lateral geniculate nucleus,Poisson distribution,Correlogram,Mathematics
Journal
Volume
ISSN
Citations 
26-7
0925-2312
0
PageRank 
References 
Authors
0.34
2
1
Name
Order
Citations
PageRank
Carlos D. Brody1243.98