Processing of information in synchroneously firing chains in networks of neurons

Jens Christian Claussen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

The Abeles model of cortical activity assumes that in absence of stimulation neural activity in zero order can be described by a Poisson process. Here the model is extended to describe information processing by synfire chains within a network of activity uncorrelated to the synfire chain. A quantitative derivation of the transfer function from this concept is given.

Original languageEnglish
Title of host publicationArtificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings
PublisherSpringer
Pages710-717
Number of pages8
ISBN (Print)3540386254, 9783540386254
DOIs
Publication statusPublished - 1 Jan 2006
Event16th International Conference on Artificial Neural Networks, ICANN 2006 - Athens, Greece
Duration: 10 Sep 200614 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4131 LNCS - I
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Artificial Neural Networks, ICANN 2006
CountryGreece
CityAthens
Period10/09/0614/09/06

Bibliographical note

© Springer-Verlag Berlin Heidelberg 2006

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    Claussen, J. C. (2006). Processing of information in synchroneously firing chains in networks of neurons. In Artificial Neural Networks, ICANN 2006 - 16th International Conference, Proceedings (pp. 710-717). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4131 LNCS - I). Springer. https://doi.org/10.1007/11840817_74