Towards Computational Neural Systems through Developmental Evolution

A.G. Rust, R.G. Adams, S. George, H. Bolouri

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)188-202
JournalLecture Notes in Computer Science (LNCS)
Publication statusPublished - 2001


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