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, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.

Prospective authors are strongly encouraged to consult recent issues of  the Journal to be sure that their submissions are in scope.   The  Journal focuses on understanding brain function at the level of neurons and circuits via computational and model-based approaches that are tied to biology and are experimentally testable.  Examples of work that is not within the Journal's scope include (i) presentations of signal-processing algorithms that are purely methodological or for biomedical applications such as brain-computer interfaces or seizure detection, and (ii) computational analysis of genomic data without a clear tie-in to neural mechanisms of brain function.

Editors-in-Chief:
Alain Destexhe
CNRS, Gif-sur-Yvette, France

Jonathan D. Victor
Weill Cornell Medical College, New York, USA

Action Editors:

Emre Aksay, Weill Cornell Medicine, Cornell University
Maxim Bazhenov, University of California, Riverside
Upinder Bhalla, National Center of Bio. Science
Alexander Borst, Max Planck Institute of Neurobiology
Ingo Bojak, University of Reading 
James M. Bower, University of Texas Health Science Center at San Antonio
Nicolas Brunel, University of Chicago
Catherine E. Carr, University of Maryland
Albert Compte, University of Barcelona
Peter Dayan, University College London
Erik De Schutter, Okinawa Institute of Science and Technology Graduate University
Brent Doiron, University of Pittsburgh
Uri Eden, Boston University
Gaute Einevoll, Norwegian University of Life Sciences
G. Bard Ermentrout, University of Pittsburgh
Stefano Fusi, Columbia University
Mark Goldman, University of California, Davis
Tim Gollisch, University of Göttingen 
David Golomb, Ben Gurion University of the Negev
John R. Huguenard, Stanford University School of Medicine
Dieter Jaeger, Emory University
Nancy Kopell, Boston University
Philippe Lefevre, Catholic University of Louvain
Christiane Linster, Cornell University
Kenneth D. Miller, Columbia University Medical School
Israel Nelken, The Hebrew University
Bruno A. Olshausen, University of California, Berkeley
Liam Paninski, Columbia University
Barry Richmond, National Institute of Health
John Rinzel, New York University
Arnd Roth, University College London
Steven J. Schiff, Pennsylvania State University
Susanne Schreiber, Humboldt University
Simon Schultz, Imperial College London
Terrance J. Sejnowski, The Salk Institute
Shihab A. Shamma, University of Maryland
Frances K. Skinner, Toronto Western Research Institute
Abraham Snyder, Washington University School of Medicine
Louis Tao, Peking University
David Terman, Ohio State University
Alessandro Treves, SISSA/ISAS
Mark van Rossum, University of Edinburgh
Charles J. Wilson, University of Texas at San Antonio