dc.contributor.author | Alva, Parimala | |
dc.contributor.author | De Sousa, Giseli | |
dc.contributor.author | Torben-Nielsen, Ben | |
dc.contributor.author | Maex, Reinoud | |
dc.contributor.author | Adams, Roderick | |
dc.contributor.author | Davey, N. | |
dc.contributor.author | Steuber, Volker | |
dc.date.accessioned | 2013-11-25T12:59:55Z | |
dc.date.available | 2013-11-25T12:59:55Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Alva , P , De Sousa , G , Torben-Nielsen , B , Maex , R , Adams , R , Davey , N & Steuber , V 2013 , Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping . in Artificial Neural Networks and Machine Learning : ICANN 2013 . Lecture Notes in Computer Science , vol. 8131 , Springer Nature Link , pp. 319-326 , 23rd Int Conf on Artifcial Neural Networks , Sofia , Bulgaria , 10/09/13 . https://doi.org/10.1007/978-3-642-40728-4_40 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 978-3-642-40727-7 | |
dc.identifier.isbn | 978-3-642-40728-4 | |
dc.identifier.other | ORCID: /0000-0003-0186-3580/work/133139246 | |
dc.identifier.uri | http://hdl.handle.net/2299/12178 | |
dc.description.abstract | In this study, two morphological representations in the genotype, a deterministic and a nondeterministic representation, are compared when evolving a neuronal morphology for a pattern recognition task. The deterministic approach represents the dendritic morphology explicitly as a set of partitions in the genotype which can give rise to a single phenotype. The nondeterministic method used in this study encodes only the branching probability in the genotype which can produce multiple phenotypes. The main result is that the nondeterministic method instigates the selection of more symmetric dendritic morphologies which was not observed in the deterministic method | en |
dc.language.iso | eng | |
dc.publisher | Springer Nature Link | |
dc.relation.ispartof | Artificial Neural Networks and Machine Learning | |
dc.relation.ispartofseries | Lecture Notes in Computer Science | |
dc.title | Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Biocomputation Research Group | |
dc.contributor.institution | Centre of Data Innovation Research | |
dc.contributor.institution | Centre for Future Societies Research | |
rioxxterms.versionofrecord | 10.1007/978-3-642-40728-4_40 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |