%0 Conference Paper
%A Wilson, Dennis
%A Cussat-Blanc, Sylvain
%A Luga, Hervé
%B 6th Morphogenetic Engineering Workshop (MEW 2016) at ALife XV : Artificial Life Conference
%C Cancun, Mexico
%D 2016
%F publications:29193
%I MIT Press
%K Neural networks - Genetic Regulatory Network  - GRN - Spiking Neural Network - SNN
%P 14-15
%T Evolving genetic regulatory networks for online neurogenesis
%U https://publications.ut-capitole.fr/id/eprint/29193/
%X We evolve a Genetic Regulatory Network (GRN) in a three dimensional morphogen gradient environment to determine the topology of  the neurons in a Spiking  Neural  Network (SNN). A genetic algorithm is  used  to  optimize the GRN, selecting individuals based on the performance of the SNN grown by the GRN. Performance is measured on two tasks: visual discrimination and robotic foraging. Early results show potential for this method as both an indirect encoding and on-line regulator of neural networks.