Evolving Virtual Neuronal Morphologies: a case study in Genetic L-Systems Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Benjamin Torben-Nielsen",
  title =        "Evolving Virtual Neuronal Morphologies: a case study
                 in Genetic L-Systems Programming",
  booktitle =    "9th European Conference on Artificial Life, ECAL",
  year =         "2007",
  editor =       "Fernando {Almeida e Costa} and LuisMateus Rocha and 
                 Ernesto Costa and Inman Harvey and Antonio Coutinho",
  volume =       "4648",
  series =       "LNCS",
  pages =        "1089--1099",
  address =      "Lisbon",
  month =        sep # " 10-14",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-540-74912-7",
  DOI =          "doi:10.1007/978-3-540-74913-4_109",
  abstract =     "Virtual neurons are digitised representations of
                 biological neurons, with an emphasis on their
                 morphology. In previous research we presented a proof
                 of principle of reconstructing virtual neuronal
                 morphologies by means of Genetic L-Systems Programming
                 (GLP) [13]. However, the results were limited due to a
                 hard evolutionary search process and a minimalistic
                 fitness function. In this work we analysed the search
                 process and optimised the GLP configuration to enhance
                 the search process. In addition, we designed a neuron
                 type-specific fitness function which provides an
                 incremental assessment of the evolved structures. The
                 results are significantly better and relevant issues
                 are discussed.",
  notes =        "ECAL-2007",

Genetic Programming entries for Ben Torben-Nielsen