rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: From Computer to Brain
    sub title: Foundations of Computational Neuroscience
  name:
    name part: Lytton, William W.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2002
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 364 p. online resource.
  abstract: Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.
  table of contents: Perspectives -- Computational Neuroscience and You -- Basic Neuroscience -- Computers -- Computer Representations -- The Soul of an Old Machine -- Cybernetics -- Concept Neurons -- Neural Coding -- Our Friend the Limulus -- Supervised Learning: Delta Rule and Back-Propagation -- Associative Memory Networks -- Brains -- From Soap to Volts -- Hodgkin-Huxley Model -- Compartment Modeling -- From Artificial Neural Network to Realistic Neural Network -- Neural Circuits -- The Basics.
  note: by William W. Lytton.
  subject:
    topic: Mathematics
  subject:
    topic: Neurosciences
  subject:
    topic: Computers
  subject:
    topic: Artificial intelligence
  subject:
    topic: Neurobiology
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Biomedical engineering
  subject:
    topic: Mathematics
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Neurosciences
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Neurobiology
  subject:
    topic: Biomedical Engineering
  subject:
    topic: Computing Methodologies
  classification: T57-57.97
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780387227337
  identifier: http://dx.doi.org/10.1007/b98859
  record info:
    record creation date: 100301
    record change date: 20151204151726.0
    record identifier: 978-0-387-22733-7