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: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
    sub title: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I
  name:
    name part: Mira, Jose.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Prieto, Alberto.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2001
    edition: 1st ed. 2001.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVIII, 840 p. online resource.
  abstract: Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:"Whatdoesneurosciencebringintocomputation(thenew bionics)?" That is to say, how can we seek inspiration in biology? Titles such as "computational intelligence", "arti?cial neural nets", "genetic algorithms", "evolutionary hardware", "evolutive architectures", "embryonics", "sensory n- romorphic systems", and "emotional robotics" are representatives of the present interest in "biological electronics" (bionics). Thesecondquestionis:"Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?" That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.
  table of contents: Foundations of Connectionism and Biophysical Models of Neurons -- Structural and Functional Models of Neurons -- Learning and Other Plasticity Phenomena, and Complex Systems Dynamics -- Artificial Intelligence and Cognitive Processes.
  note: edited by Jose Mira, Alberto Prieto.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Neurosciences
  subject:
    topic: Neurology
  subject:
    topic: Bioinformatics
  subject:
    topic: Computational biology
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Neurosciences
  subject:
    topic: Neurology
  subject:
    topic: Computer Appl. in Life Sciences
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 2084
  identifier: 9783540457206
  identifier: https://doi.org/10.1007/3-540-45720-8
  record info:
    record creation date: 121227
    record change date: 20191026032911.0
    record identifier: 978-3-540-45720-6