The Journal of Computational Neuroscience

From neurons to behavior: A journal at the interface between experimental and theoretical neuroscience

Editors-in-Chief: Alain Destexhe and Jonathan Victor

The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily, theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience are also welcomed. It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.

Published by Springer Science Business Media B.V., ISSN: 0929-5313 (paper) and 1573-6873 (online).

Links

  • General Information about the journal
  • Editorial Board
  • Online version of the journal
  • Electronic Submission

  • Springer Series in Computational Neuroscience

    Editors: Alain Destexhe and Romain Brette

    The Springer Series in Computational Neuroscience gathers monographs and edited volumes on all aspects of computational neuroscience, including theoretical and mathematical neuroscience, biophysics of the brain, models of neurons and neural networks, and methods of data analysis (e.g. information theory). The editors welcome suggestions and projects for inclusion in the series.