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  Population Coding

Panzeri, S., Montani, F., Notaro, G., Magri, C., & Peterson, R. (2010). Population Coding. In S. Grün, & S. Rotter (Eds.), Analysis of Parallel Spike Trains (pp. 303-319). New York, NY, USA: Springer.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C1A6-B Version Permalink: http://hdl.handle.net/21.11116/0000-0002-957E-9
Genre: Book Chapter

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 Creators:
Panzeri, S1, Author              
Montani, F, Author
Notaro, G1, Author              
Magri, C1, Author              
Peterson, RS, Author
Affiliations:
1Italian Institute of Technology, Genova, Italy, ou_persistent22              

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 Abstract: Population coding is the quantitative study of which algorithms or representations are used by the brain to combine together and evaluate the messages carried by different neurons. Here, we review an information-theory-based approach to population coding. We discuss how to quantify the information carried by a neural population and how to quantify the contribution of individual members of the population, or the interaction between them, to the overall information encoded by the considered group of neurons. We present examples of applications of this formalism to simultaneous recordings of multiple spike trains.

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 Dates: 2010
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1007/978-1-4419-5675-0_14
BibTex Citekey: PanzeriMNMP2010
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Title: Analysis of Parallel Spike Trains
Source Genre: Book
 Creator(s):
Grün, S, Editor
Rotter, S, Editor
Affiliations:
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Publ. Info: New York, NY, USA : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 303 - 319 Identifier: ISBN: 978-1-4419-5675-0

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Title: Springer Series in Computational Neuroscience: NEUROSCI
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Pages: - Volume / Issue: 7 Sequence Number: - Start / End Page: - Identifier: -