Wilson, Dennis, Cussat-Blanc, Sylvain and Luga, Hervé (2016) Evolving genetic regulatory networks for online neurogenesis. In: 6th Morphogenetic Engineering Workshop (MEW 2016) at ALife XV : Artificial Life Conference, 4 July 2016, Cancun, Mexico.

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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.

Item Type: Conference or Workshop Item (Paper)
Date: 2016
Uncontrolled Keywords: Neural networks - Genetic Regulatory Network - GRN - Spiking Neural Network - SNN
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 22 Feb 2019 14:56
Last Modified: 02 Apr 2021 15:59
URI: https://publications.ut-capitole.fr/id/eprint/29193
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