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: Information Routing, Correspondence Finding, and Object Recognition in the Brain
  name:
    name part: Wolfrum, Philipp.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 133 p. online resource.
  abstract: This book covers recent research on cortical signal processing and plasticity, with an emphasis on object recognition. Differently from other texts which study the behavior of single neurons, however, the focus here is on assemblies of neurons and how they can collectively represent information patterns and their dynamic relationships. This viewpoint leads to novel concepts for how the brain routes information in a purposeful way, how it detects correspondences between patterns, and how sensory inputs are recognized. To illustrate the function of these concepts, the author proceeds to develop several concrete neural models, including a powerful system for face recognition. Other parts of the book treat the question which neural substrates are necessary for such capabilities, and how they can self-organize in the developing organism. While most of the explicit examples in the book are drawn from vision, the concepts described apply to all areas of neural function from sensory perception to motor control to abstract reasoning. Consequently, readership is aimed at all students and researchers in neuroscience interested in exploring new paradigms of brain function. Experimentalists may draw inspiration from the book for designing anatomical and physiological experiments that lead the way from the current focus on static receptive fields to investigating the dynamic, functional connectivity of cortex. Theoreticians are invited to incorporate the discussed concepts into their own modeling, and to improve on the models presented in the book. While familiarity with the basic notions of theoretical neuroscience is useful for enjoying this book, it also offers to those without a vision background an introduction to the function of the mammalian visual pathway, as well as a broad discussion of different computer vision approaches to object recognition.
  table of contents: Background and Concepts -- A Correspondence-Based Neural Model for Face Recognition -- Switchyards-Routing Structures in the Brain -- Ontogenesis of Switchyards -- Putting the Pieces Together: Recognition with Switchyards -- Discussion and Outlook.
  note: by Philipp Wolfrum.
  subject:
    topic: Engineering
  subject:
    topic: Neurosciences
  subject:
    topic: Artificial intelligence
  subject:
    topic: Dynamics
  subject:
    topic: Ergodic theory
  subject:
    topic: Computational intelligence
  subject:
    topic: Complexity, Computational
  subject:
    topic: Engineering
  subject:
    topic: Engineering, general
  subject:
    topic: Neurosciences
  subject:
    topic: Dynamical Systems and Ergodic Theory
  subject:
    topic: Computational Intelligence
  subject:
    topic: Complexity
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TA1-2040
  classification: 620
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 316
  identifier: 9783642152542
  identifier: http://dx.doi.org/10.1007/978-3-642-15254-2
  record info:
    record creation date: 100904
    record change date: 20151204140752.0
    record identifier: 978-3-642-15254-2