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: Neural network modeling
    sub title: statistical mechanics and cybernetic perspectives
  name:
    name part: Neelakanta, Perambur S.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: De Groff, Dolores F.
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 1994
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xv, 240 pages) : illustrations
  abstract: "Neural Network Modeling offers a cohesive approach to the statistical mechanics and principles of cybernetics as a basis for neural network modeling. It brings together neurobiologists and the engineers who design intelligent automata to understand the physics of collective behavior pertinent to neural elements and the self-control aspects of neurocybernetics. The theoretical perspectives and explanatory projections portray the most current information in the field, some of which counters certain conventional concepts in the visualization of neuronal interactions"--Publisher description
  table of contents: Introduction -- Neural and Brain Complex -- Concepts of Mathematical Neurobiology -- Pseudo-Thermodynamics of Neural Activity -- The Physics of Neural Activity: A Statistical Mechanics Perspective -- Stochastical Dynamics of the Neural Complex -- Neural Field Theory: Quasiparticle Dynamics and Wave Mechanics Analogies of Neural Networks -- Informatic Aspects of Neurocybernetics -- Appendix A: Magnetism and the Ising Spin-Glass Model -- Appendix B: Matrix Methods in Little's Model -- Appendix C: Overlap of Replicas and Replica Symmetry Ansatz.
  note: Perambur S. Neelakanta, Dolores F. De Groff.
  note: Includes bibliographical references (pages 222-231) and index.
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Réseaux neuronaux (Informatique)
  subject:
    topic: COMPUTERS
    topic: General
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Neuronales Netz
  subject:
    topic: Stochastisches dynamisches System
  subject:
    topic: Neurale netwerken
  subject:
    topic: Réseaux neronaux (informatique)
  subject:
    topic: Cybernétique
  subject:
    topic: Intelligence artificielle
  classification: QA76.87 .N388 1994eb
  classification: 006.3
  classification: 54.72
  classification: DAT 717f
  classification: MAT 606f
  classification: PHY 011f
  related item:
    title info:
      title: Neural network modeling
    name:
      name part: Neelakanta, Perambur S.
    origin info:
      publisher: Boca Raton, Fla. : CRC Press, ©1994
    identifier: (DLC) 94014052
    identifier: (OCoLC)30157303
  identifier: 9780203745960
  identifier: 0203745965
  identifier: 9781351428965
  identifier: 1351428969
  identifier: 0849324882
  identifier: 9780849324888
  identifier: 0849324482
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 180226
    record change date: 20241108165845.5
    record identifier: in00005524207
    language of cataloging:
      language term: eng