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Evolving genetic regulatory networks for online neurogenesis

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

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Abstract

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)
Additional Information:The definitive version is available at : http://docs/MEW2016_program_and_abstracts.pdf
HAL Id:hal-01782556
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:28 Mar 2018 14:25

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