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Homogenous Chaotic Network Serving as a RatePopulation Code to Temporal Code Converter
Author
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
At present, it is obvious that different sections of nervous system utilize different methods for information coding.
Primary afferent signals in most cases are represented in form of spike trains using a combination of rate coding and population coding while there are clear evidences that temporal coding is used in various regions of cortex.
In the present paper, it is shown that conversion between these two coding schemes can be performed under certain conditions by a homogenous chaotic neural network.
Interestingly, this effect can be achieved without network training and synaptic plasticity.
American Psychological Association (APA)
Kiselev, Mikhail V.. 2014. Homogenous Chaotic Network Serving as a RatePopulation Code to Temporal Code Converter. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-474638
Modern Language Association (MLA)
Kiselev, Mikhail V.. Homogenous Chaotic Network Serving as a RatePopulation Code to Temporal Code Converter. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-474638
American Medical Association (AMA)
Kiselev, Mikhail V.. Homogenous Chaotic Network Serving as a RatePopulation Code to Temporal Code Converter. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-474638
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-474638