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dc.contributor.authorAdams, R.G.
dc.contributor.authorRust, A.G.
dc.contributor.authorSchilstra, M.
dc.contributor.authorBolouri, H.
dc.contributor.editorKumar, S.
dc.contributor.editorBentley, P.J.
dc.identifier.citationAdams , R G , Rust , A G , Schilstra , M & Bolouri , H 2003 , Evolving computational neural systems using synthetic developmental mechanisms . in S Kumar & P J Bentley (eds) , On Growth, Form and Computers . Elsevier , pp. 353-376 .
dc.identifier.isbn978 0124287655
dc.identifier.otherPURE: 85979
dc.identifier.otherPURE UUID: af5bb117-b892-434f-8948-ccb5475fbfda
dc.identifier.otherdspace: 2299/3974
dc.identifier.otherScopus: 84903496174
dc.descriptionOriginal chapter can be found at: Copyright Elsevier Ltd. [Full text of this item is not available in the UHRA]
dc.description.abstractBiological development is highly complex, beginning with an egg and resulting in a complete living organism (Purves and Lichtman, 1985). Development is essentially sequential, establishing a gross structure which becomes progressively more complex over time (Goodwin, 1991). This refinement of structure and function/behaviour operates across many different levels of the biological scale, from molecules to cells to tissues and organs. On each level of scale there is interactive self-organization between the constituent elements (Goodwin, 1996). Neural development is an example of these processes which leads to the development of a nervous system and associated functions. [opening paragraph]en
dc.relation.ispartofOn Growth, Form and Computers
dc.titleEvolving computational neural systems using synthetic developmental mechanismsen
dc.contributor.institutionSchool of Computer Science

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