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Advances in Neural Population Coding / edited by Miguel A.L. Nicolelis.

Contributor(s): Series: Progress in brain research ; v. 130.Publisher: Amsterdam ; New York : Elsevier, 2001Edition: First editionDescription: 1 online resource (xiii, 362 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 044450110X
  • 9780444501103
Subject(s): Genre/Form: Additional physical formats: Print version:: Advances in neural population coding.LOC classification:
  • QP376 .P7 v.130eb
NLM classification:
  • W1
  • WL 102
Online resources: Action note:
  • digitized 2010 HathiTrust Digital Library committed to preserve
Summary: A collective research effort by scientists working in laboratories around the world, this book addresses issues covering all aspects of neural population coding. This volume, with contributions from distinguished neuroscientists, is divided into six sections containing a historical overview of the concept of neural population, introducing a series of new experimental paradigms and analytical techniques for investigating potential neural coding schemes and four sections focusing on recent advances in population coding in a broad range of areas of brain research.
Item type: eBooks
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Text in English.

Includes bibliographical references and index.

Use copy Restrictions unspecified star MiAaHDL

Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

http://purl.oclc.org/DLF/benchrepro0212

digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL

A collective research effort by scientists working in laboratories around the world, this book addresses issues covering all aspects of neural population coding. This volume, with contributions from distinguished neuroscientists, is divided into six sections containing a historical overview of the concept of neural population, introducing a series of new experimental paradigms and analytical techniques for investigating potential neural coding schemes and four sections focusing on recent advances in population coding in a broad range of areas of brain research.

Print version record.

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