Call for Papers (Biological Neural Networks)

[dtam@morticia.cnns.unt.edu]

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=                    Call for Papers                    =
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                Progress in Neural Networks
        Special Volume: Biological Neural Networks


     This special issue aims at a review of the current research progress
made in the understanding of biological neural systems and its relations to
artificial neural networks.  Computational and theoretical issues
addressing signal processing capabilities and dynamics of biologically
based systems will be covered.  Development and plasticity of
neuroanatomical architecture are emphasized.

     Authors are invited to submit original manuscripts describing recent
progress in biological neural network research addressing computational and
theoretical issues in neurobiology and signal processing in the central
nervous system.  Manuscripts should be self-contained.  They may be of
tutorial or review in nature.  Suggested topics include, but are not
limited to:

* Biophysics of neurons in a network
* Biochemistry of synaptic transmission
* Development of neuroanatomical circuitries
* Receptive field and organization of dendrites
* Synaptic plasticity and synaptic development
* Signal encoding, decoding and transduction
* Subthreshold vs spike code signal processing
* Functional circuitry analysis
* Neural population interactions and dynamics
* Physiological functions of neuronal networks
* Biological neuronal network models
* Processing capabilities of biologically based systems

     Submit abstracts, extended summaries, or manuscripts to the volume
editor directly.  For more information please contact.

Volume Editor
Dr. David C. Tam
Center for Network Neuroscience
Department of Biological Sciences
P. O. Box 5218
University of North Texas
Denton, TX 76203

Tel: (817) 565-3261
Fax: (817) 565-4136
E-mail: dtam at morticia.cnns.unt.edu

Publisher: ABLEX PUB CORP 355 Chestnut St., Norwood, NJ 07648