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        Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping

        Author
        Alva, Parimala
        De Sousa, Giseli
        Torben-Nielsen, Ben
        Maex, Reinoud
        Adams, Roderick
        Davey, N.
        Steuber, Volker
        Attention
        2299/12178
        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
        Publication date
        2013
        Published in
        Artificial Neural Networks and Machine Learning
        Published version
        https://doi.org/10.1007/978-3-642-40728-4_40
        Other links
        http://hdl.handle.net/2299/12178
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