Journal article
Neural timing in highly convergent systems
SIAM journal on applied mathematics, Vol.68(3), pp.720-737
01/01/2007
DOI: 10.1137/07068775X
Abstract
In order to study how the convergence of many variable-response neurons on a single target can sharpen timing information, we investigate the limit as the number of input neurons and the number of incoming spikes required to. re the target both get large with the ratio fixed. We prove that the standard deviation of the. ring time of the target cell goes to zero in this limit, and we derive the asymptotic forms of the density and the standard deviation near the limit. We use the theorems to understand the behavior of octopus cells in the mammalian cochlear nucleus.
Details
- Title: Subtitle
- Neural timing in highly convergent systems
- Creators
- Colleen Mitchell - Univ Iowa, Dept Math, Iowa City, IA 52242 USAMichael Reed - Duke University
- Resource Type
- Journal article
- Publication Details
- SIAM journal on applied mathematics, Vol.68(3), pp.720-737
- Publisher
- SIAM PUBLICATIONS
- DOI
- 10.1137/07068775X
- ISSN
- 0036-1399
- eISSN
- 1095-712X
- Number of pages
- 18
- Language
- English
- Date published
- 01/01/2007
- Academic Unit
- Mathematics
- Record Identifier
- 9984241048202771
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