The following paper is scheduled to appear in the forthcoming issue
of the Journal of Integrative Neuroscience,  volume 1, Issue 2,
December 2002:

AN INTEGRATIVE THEORY OF COGNITION

A framework is outlined for connecting brain imaging activity with the
underlying biophysical properties of neural networks, and their
mechanisms of action and organizing principles.  The main thrust of the
framework is a dynamic theory of semantics based on functional
integration of biophysical neural networks. It asserts that higher-brain

function arises from both synaptic and extrasynaptic integration in the
neuropil where information on environmental changes are represented
dynamically through a discourse of semantics. Consequently, integrative
neural modeling is shown to be an important methodology for analyzing
the response activities of functional imaging studies in elucidating the

relationship between brain structure, function and behavior.

Roman R. Poznanski
Centre de Recherche en Physiologie Integrative
Hopital Tarnier
CHU Cochin-Port-Royal, 89, rue d'Assas, Paris 75006
FRANCE
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Other  papers appearing are:

CONTROLLER-REGULATOR MODEL OF THE CENTRAL NERVOUS SYSTEM
by Masao Ito, Director of Brain Science Institute, RIKEN, Japan

NEUROINFORMATICS: THE INTEGRATION OF SHARED DATABASES AND TOOLS
TOWARDS AN INTEGRATIVE NEUROSCIENCE
by Gary F. Egan, Howard Florey Institute for Experimental Physiology and
Medicine, Melbourne,
Australia.

and more!

-----------------------------
The Journal of Integrative Neuroscience will serve as a focus for new
discoveries in the advancement of
experimental and theoretical neuroscience.

The journal covers the following disciplines:

    1. PDE's and nonlinear dynamical systems;
    2. Noninformationalist/noncomputationalist theories of mind;
    3. Integrative neural modeling;
    4. Functional imaging (PET/fMRI);
    5. Experiments linking molecular with cellular phenomena.
    6. Interregional functional connectivity (anatomy and physiology);
    7. Philosophical foundations of neuroscience;
    8. Neural engineering applications.

Computational neuroscience with its computer metaphors provides little
help to foundational theory
because of its lack of relation to physical law and its weak
relationship to neurobiological processes. The
new field of integrative neuroscience encompasses the requirements of
physical-biological foundations, expansive
inclusiveness of scope across biological and psychological variables,
multi-leveled hierarchical complexity,
and analytical tools demanded by the brain's complexity. Integrative
neuroscience is a large-scale
synthesis whose scope and time are right. It embodies the future
directions of theoretical neuroscience,
and should provide many bridging recognitions.

http://www.worldscinet.com/jin/mkt/editorial.shtml
(Only vol. 1, issue 1 is free).

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