Towards computational neural systems through developmental evolution

Authors:
Alistair G. Rust;Rod Adams;Stella George;Hamid Bolouri
Affiliations:
Department of Computer Science, University of Hertfordshire, UK and Neural Systems Group, Science & Technology Research Centre, University of Hertfordshire, UK;Department of Computer Science, University of Hertfordshire, UK;Department of Computer Science, University of Hertfordshire, UK;Neural Systems Group, Science & Technology Research Centre, University of Hertfordshire, UK and Division of Biology, California Institute of Technology
Venue:
Emergent neural computational architectures based on neuroscience
Year:
2001

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Abstract

The capability of creating artificial neural networks with biologically-plausible characteristics, is becoming ever more attainable through the greater understanding of biological neural systems and the constant increases in available desktop computing power. Designing and implementing such neural systems still however remains a complex and challenging problem. This chapter introduces a design methodology, inspired by embryonic neural development, which is capable of creating 3 dimensional morphologies of both individual neurons and networks. Examples of such morphologies are given, which are created by evolving the parameters of the developmental model using an evolutionary algorithm.