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: Coherent Behavior in Neuronal Networks
  name:
    name part: Josic, Kre¿imir.
    role:
      role term: editor.
  name:
    name part: Rubin, Jonathan.
    role:
      role term: editor.
  name:
    name part: Matias, Manuel.
    role:
      role term: editor.
  name:
    name part: Romo, Ranulfo.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 304 p. 144 illus., 44 illus. in color. online resource.
  abstract: Recent experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information. With these developments, it has become clear that dynamic network behaviors underlie information processing, and that the observed activity patterns cannot be fully explained by simple concepts such as synchrony and phase locking. These new insights raise significant challenges and offer exciting opportunities for experimental and theoretical neuroscientists. Coherent Behavior in Neuronal Networks features a review of recent research in this area from some of the world’s foremost experts on systems neuroscience. The book presents novel methodologies and interdisciplinary perspectives, and will serve as an invaluable resource to the research community. Highlights include the results of interdisciplinary collaborations and approaches as well as topics, such as the interplay of intrinsic and synaptic dynamics in producing coherent neuronal network activity and the roles of globally coherent rhythms and oscillations in the coordination of distributed processing, that are of significant research interest but have been underrepresented in the review literature. With its cutting-edge mathematical, statistical, and computational techniques, this volume will be of interest to all researchers and students in the field of systems neuroscience. About the Editors: Krešimir Josic works in different areas of mathematical biology and applied dynamics, with a particular interest in understanding how information is represented in neuronal networks. He is an associate professor at the University of Houston and a member of the steering committees of the Gulf Coast Consortium for Theoretical and Computational Neuroscience, and the Center for the Mathematical Biosciences in Houston. Jonathan Rubin is a Professor of Mathematics at the University of Pittsburgh, with research interests in nonlinear dynamics and mathematical biology, particularly ne…
  table of contents: On the Dynamics of Synaptic Inputs During Ongoing Activity in the Cortex -- Timing Excitation and Inhibition in the Cortical Network -- Finding Repeating Synaptic Inputs in a Single Neocortical Neuron -- Reverberatory Activity in Neuronal Networks -- Gap Junctions and Emergent Rhythms -- The Feed-Forward Chain as a Filter-Amplifier Motif -- Gain Modulation as a Mechanism for Switching Reference Frames, Tasks, and Targets -- Far in Space and Yet in Synchrony: Neuronal Mechanisms for Zero-Lag Long-Range Synchronization -- Characterizing Oscillatory Cortical Networks with Granger Causality -- Neurophysiology of Interceptive Behavior in the Primate: Encoding and Decoding Target Parameters in the Parietofrontal System -- Noise Correlations and Information Encoding and Decoding -- Stochastic Synchrony in the Olfactory Bulb -- Stochastic Neural Dynamics as a Principle of Perception -- Large-Scale Computational Modeling of the Primary Visual Cortex.
  note: edited by Kre¿imir Josic, Jonathan Rubin, Manuel Matias, Ranulfo Romo.
  subject:
    topic: Medicine
  subject:
    topic: Neurosciences
  subject:
    topic: Neurology
  subject:
    topic: Bioinformatics
  subject:
    topic: Computational biology
  subject:
    topic: Neurobiology
  subject:
    topic: Biomedicine
  subject:
    topic: Neurosciences
  subject:
    topic: Neurology
  subject:
    topic: Neurobiology
  subject:
    topic: Computer Appl. in Life Sciences
  classification: RC321-580
  classification: 612.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Computational Neuroscience ; 3
  identifier: 9781441903891
  identifier: http://dx.doi.org/10.1007/978-1-4419-0389-1
  record info:
    record creation date: 100301
    record change date: 20151204173608.0
    record identifier: 978-1-4419-0389-1