Biologically Plausible Dynamic Artificial Neural Networks.
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A *Dynamic Artificial Neural Network* (DANN) [1]
possesses processing elements that are created and/or
annihilated, either in real time or as some part of a
development phase [2].
Of particular interest is the possibility of
constructing *biologically plausible* DANN's that
models developmental neurobiological strategies for
establishing and modifying processing elements and their
connections.
Work with cellular automata in modeling cell genesis and
cell pattern formation could be applicable to the design
of DANN topologies. Likewise, biological features that are
determined by genetic or evolutionary factors [3] would
also have a role to play.
Putting all this together with a view to constructing a
working DANN, possessing cognitive/behavioral attributes of
a biological system is a tall order; the modeling of nervous
systems in simple organisms may be the best approach when
dealing with a problem of such complexity [4].
Any comments, opinions or references in respect of the
above assertions would be most welcome.
Many thanks
Paul Fawcett.
University of Westminster
References.
1. Ross, M. D., et al (1990); Toward Modeling a Dynamic
Biological Neural Network, Mathl Comput. Modeling,
Vol 13 No.7, pp97-105.
2. Lee, Tsu-Chang,(1991); Structure Level Adaptation for
Artificial Neural Networks, Kluwer Academic Publishers.
3. Edleman, Gerald,(1987); Neural Darwinism the Theory of
Neural Group Selection, Basic Books.
4. Beer, Randal, D,(1990); Intelligence as Adaptive Behavior
: An Experiment in Computational Neuroethology.
Academic Press.
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Paul Fawcett | Internet: paulf at manor.demon.co.uk
London, UK. | tenec at westminster.ac.uk
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