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Noise Shaping in Neural Populations with Global DelayedFeedback

Published online by Cambridge University Press:  10 March 2010

O. Ávila Åkerberg  and
M. J. Chacron
O. Ávila Åkerberg
Affiliation:
Department of Physics, McGill University, Montreal, H3G 1Y6, Canada
M. J. Chacron*
Affiliation:
Department of Physics, McGill University, Montreal, H3G 1Y6, Canada Department of Physiology, McGill University, Montreal , H3G 1Y6, Canada
*
* Corresponding author.E-mail: maurice.chacron@mcgill.ca
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Abstract

The interplay between intrinsic and network dynamics has been the focus of manyinvestigations. Here we use a combination of theoretical and numerical approaches to studythe effects of delayed global feedback on the information transmission properties ofneural networks. Specifically, we compare networks of neurons that display intrinsicinterspike interval correlations (nonrenewal) to networks that do not (renewal). We findthat excitatory and inhibitory delays can tune information transmission by single neuronsbut not by the entire network. Most surprisingly, addition of a delay can change thedependence of the information on the coupling strength for renewal neurons and not fornonrenewal neurons. Our results show that intrinsic ISI correlations can have nontrivialinteractions with network-induced phenomena.

Keywords

information theoryneural networksnonrenewaldelay
Type
Research Article
Information
Mathematical Modelling of Natural Phenomena , Volume 5 , Issue 2: Mathematics and neuroscience , 2010 , pp. 100 - 124
Copyright
© EDP Sciences, 2010

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