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 Fields
    sub title: Theory and Applications
  name:
    name part: Coombes, Stephen.
    role:
      role term: editor.
  name:
    name part: beim Graben, Peter.
    role:
      role term: editor.
  name:
    name part: Potthast, Roland.
    role:
      role term: editor.
  name:
    name part: Wright, James.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 487 p. 132 illus., 50 illus. in color. online resource.
  abstract: With this book, the editors present the first comprehensive collection in neural field studies, authored by leading scientists in the field - among them are two of the founding-fathers of neural field theory. Up to now, research results in the field have been disseminated across a number of distinct journals from mathematics, computational neuroscience, biophysics, cognitive science and others. Starting with a tutorial for novices in neural field studies, the book comprises chapters on emergent patterns, their phase transitions and evolution, on stochastic approaches, cortical development, cognition, robotics and computation, large-scale numerical simulations, the coupling of neural fields to the electroencephalogram and phase transitions in anesthesia. The intended readership are students and scientists in applied mathematics, theoretical physics, theoretical biology, and computational neuroscience. Neural field theory and its applications have a long-standing tradition in the mathematical and computational neurosciences. Beginning almost 50 years ago with seminal work by Griffiths and culminating in the 1970ties with the models of Wilson and Cowan, Nunez and Amari, this important research area experienced a renaissance during the 1990ties by the groups of Ermentrout, Bressloff, Haken, and Wright. Since then, much progress has been made in both, the development of mathematical and numerical techniques, and in physiological refinement and understanding. In contrast to large-scale neural network models described by huge connectivity matrices that are computationally expensive in numerical simulations, neural field models described by connectivity kernels allow for analytical treatment by means of functional analysis methods. Thus, a number of rigorous results on the existence of bump and wave solutions or on inverse kernel construction problems are nowadays available. Moreover, neural fields provide an important interface for the coupling of continuous neural activit…
  table of contents: Preface -- 1.Tutorial on Neural Field Theory. S. Coombes, P. beim Graben and R. Potthast -- Part I Theory of Neural Fields -- 2.A Personal Account of the Development of the Field Theory of Large-Scale Brain Activity from 1945 Onward. J. Cowan -- 3.HeavisideWorld: Excitation and Self-Organization of Neural Fields. Shun-ichi Amari -- 4.Spatiotemporal Pattern Formation in Neural Fields with Linear Adaptation. G.B. Ermentrout, S.E. Folias and Z.P. Kilpatrick -- 5.PDE Methods for Two-Dimensional Neural Fields. C.R. Laing -- 6.Numerical Simulation Scheme of One- and Two Dimensional Neural Fields Involving Space-Dependent Delays. A. Hutt and N. Rougier -- 7.Spots: Breathing, Drifting and Scattering in a Neural Field Model. S. Coombes, H. Schmidt and D. Avitabile -- 8.Heterogeneous Connectivity in Neural Fields: A Stochastic Approach. C.A. Brackley and M.S. Turner -- 9.Stochastic Neural Field Theory. P.C. Bressloff -- 10.On the Electrodynamics of Neural Networks. P. beim Graben and S. Rodrigues -- Part II Applications of Neural Fields -- 11.Universal Neural Field Computation. P. beim Graben and R. Potthast -- 12.A Neural Approach to Cognition Based on Dynamic Field Theory. J. Lins and G. Schöner -- 13.A Dynamic Neural Field Approach to Natural and Efficient Human-Robot Collaboration. W. Erlhagen and E. Bicho -- 14.Neural Field Modelling of the Electroencephalogram: Physiological Insights and Practical Applications. D. T. J. Liley -- 15.Equilibrium and Nonequilibrium Phase Transitions in a Continuum Model of an Anesthetized Cortex. D.A. Steyn-Ross, M.L. Steyn-Ross, and J.W. Sleigh -- 16.Large Scale Brain Networks of Neural Fields. V. Jirsa -- 17.Neural Fields, Masses and Bayesian Modelling. D.A. Pinotsis and K.J. Friston -- 18.Neural Field Dynamics and the Evolution of the Cerebral Cortex. J.J. Wright and P.D. Bourke -- Index.
  note: edited by Stephen Coombes, Peter beim Graben, Roland Potthast, James Wright.
  subject:
    topic: Mathematics
  subject:
    topic: Dynamics
  subject:
    topic: Ergodic theory
  subject:
    topic: Functional analysis
  subject:
    topic: Integral equations
  subject:
    topic: Biophysics
  subject:
    topic: Biological physics
  subject:
    topic: Systems biology
  subject:
    topic: Biological systems
  subject:
    topic: Cognitive psychology
  subject:
    topic: Mathematics
  subject:
    topic: Integral Equations
  subject:
    topic: Dynamical Systems and Ergodic Theory
  subject:
    topic: Biophysics and Biological Physics
  subject:
    topic: Functional Analysis
  subject:
    topic: Biological Networks, Systems Biology
  subject:
    topic: Cognitive Psychology
  classification: QA431
  classification: 515.45
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642545931
  identifier: http://dx.doi.org/10.1007/978-3-642-54593-1
  record info:
    record creation date: 140617
    record change date: 20151204152227.0
    record identifier: 978-3-642-54593-1