Dymods: A framework for modularizing dynamical neuronal structures

Chris J. Roehrig

doi:10.1016/S0925-2312(98)00153-2

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Dymods: A framework for modularizing dynamical neuronal structures

1999-06-01

PRE

Chris J. Roehrig

Catharine H. Rankin *

DOI：10.1016/S0925-2312(98)00153-2

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Abstract

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We present an informal framework for modularizing dynamical systems so that they can be recombined to form larger dynamical structures. We use this framework to give a cellular account of how network dynamics might be responsible for the maintenance of reversal locomotion in the nematode C. elegans. Three nonlinear dynamical modules were constructed using physiologically realistic cellular models and they were assembled to form the complete circuit. Finally, we present a real-time, distributed implementation framework that allows dynamical modules to be implemented independently an multiple computer systems and easily interconnected. (C) 1999 Elsevier Science B.V. All rights reserved.

Keywords:

dynamical systems

C-elegans

adaptive behavior

dynamical neural networks

dynamical systems theory