dc.contributor.author | Rust, A.G. | |
dc.contributor.author | Adams, R.G. | |
dc.contributor.author | George, S. | |
dc.contributor.author | Bolouri, H. | |
dc.date.accessioned | 2009-10-20T13:06:49Z | |
dc.date.available | 2009-10-20T13:06:49Z | |
dc.date.issued | 2001 | |
dc.identifier.citation | Rust , A G , Adams , R G , George , S & Bolouri , H 2001 , ' Towards Computational Neural Systems through Developmental Evolution ' , Lecture Notes in Computer Science (LNCS) including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics , vol. 2036 , pp. 188-202 . https://doi.org/10.1007/3-540-44597-8 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.other | PURE: 94997 | |
dc.identifier.other | PURE UUID: 2b572182-158c-41b4-8815-5f538b28d470 | |
dc.identifier.other | dspace: 2299/3976 | |
dc.identifier.uri | http://hdl.handle.net/2299/3976 | |
dc.description | “The original publication is available at www.springerlink.com”. Copyright Springer. DOI: 10.1007/3-540-44597-8_14 [Full text of this article is not available in the UHRA] | |
dc.description.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. | en |
dc.language.iso | eng | |
dc.relation.ispartof | Lecture Notes in Computer Science (LNCS) including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics | |
dc.title | Towards Computational Neural Systems through Developmental Evolution | en |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | https://doi.org/10.1007/3-540-44597-8 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |