| dc.contributor.author | Rust, A.G. | |
| dc.contributor.author | Adams, R.G. | |
| dc.date.accessioned | 2011-11-28T15:01:31Z | |
| dc.date.available | 2011-11-28T15:01:31Z | |
| dc.date.issued | 1999 | |
| dc.identifier.citation | Rust , A G & Adams , R G 1999 , Developmental evolution of dendritic morphology in a multi-compartmental neuron model . in Artificial Neural Networks . IEE , pp. 383-388 . | |
| dc.identifier.other | dspace: 2299/1606 | |
| dc.identifier.uri | http://hdl.handle.net/2299/7156 | |
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| dc.description.abstract | Through the use of a multi-compartmental neuron simulation, Mainen and Sejnowski demonstrated that spike generation in neurons is a function of their dendritic structure [l]. In this paper we investigate the determination of dendritic morphology given a desired set of spike traces. A genetic algorithm is used to identify optimal parameters for a developmental model which simulates the growth of 3-dimensional dendrites. For two ’classes of ’neurons with different spiking behaviour, the developmental evolutionary process discovers ranges of viable dendritic morphologies which satisfactorally match the desired spike traces. | en |
| dc.format.extent | 502669 | |
| dc.language.iso | eng | |
| dc.publisher | IEE | |
| dc.relation.ispartof | Artificial Neural Networks | |
| dc.title | Developmental evolution of dendritic morphology in a multi-compartmental neuron model | en |
| dc.contributor.institution | School of Computer Science | |
| dc.contributor.institution | Centre for Computer Science and Informatics Research | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
