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Computational Neuroscience: Trends in Research, 1997 [Paperback]

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  • Category: Books (Medical)
  • ISBN-10:  1475798024
  • ISBN-10:  1475798024
  • ISBN-13:  9781475798029
  • ISBN-13:  9781475798029
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2013
  • Pub Date:  01-Mar-2013
  • SKU:  1475798024-11-SPRI
  • SKU:  1475798024-11-SPRI
  • Item ID: 100743900
  • List Price: $329.99
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This volume includes papers presented at the Fifth Annual Computational Neurosci? ence meeting (CNS*96) held in Boston, Massachusetts, July 14 - 17, 1996. This collection includes 148 of the 234 papers presented at the meeting. Acceptance for mceting presenta? tion was based on the peer review of preliminary papers originally submitted in May of 1996. The papers in this volume represent final versions of this work submitted in January of 1997. As represented by this volume, computational neuroscience continues to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. Defining computa? tional neuroscience as the exploration of how brains compute, it is clear that there is al? most no subject or area of modern neuroscience research that is not appropriate for computational studies. The CNS meetings as well as this volume reflect this scope and di? versity.Proceedings of the Annual Computational Neuroscience Conference held in Boston, Massachusetts, July 14-17, 1996This volume includes papers presented at the Fifth Annual Computational Neurosci? ence meeting (CNS*96) held in Boston, Massachusetts, July 14 - 17, 1996. This collection includes 148 of the 234 papers presented at the meeting. Acceptance for mceting presenta? tion was based on the peer review of preliminary papers originally submitted in May of 1996. The papers in this volume represent final versions of this work submitted in January of 1997. As represented by this volume, computational neuroscience continues to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. Defining computa? tional neuroscience as the exploration of how brains compute, it is clear that there is al? most no subject or area of modern neuroscience research that is not appropriate for computational studies. The CNS meetil£3

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