A spike train analysis for detecting temporal integration in neurons

Authors
Citation
Dc. Tam, A spike train analysis for detecting temporal integration in neurons, NEUROCOMPUT, 26-7, 1999, pp. 1055-1060
Citations number
13
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
NEUROCOMPUTING
ISSN journal
09252312 → ACNP
Volume
26-7
Year of publication
1999
Pages
1055 - 1060
Database
ISI
SICI code
0925-2312(199906)26-7:<1055:ASTAFD>2.0.ZU;2-A
Abstract
A multi-unit spike train analysis technique is developed to deduce the numb er of incoming spikes that are temporally integrated to produce the next sp ike firing by examining the dependency of spike firing in a given neuron wi th respect to the sequence of firings in another neuron. This analysis cons iders the contribution of temporal summation of multiple spikes in one neur on that is correlated to the probability of spike firing in another neuron. These simulation results show that the analysis can extract the number of spikes and the duration of temporal integration. (C) 1999 Elsevier Science B.V. All rights reserved.