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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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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) |
|---|---|
| Date: | 2016 |
| Uncontrolled Keywords: | Neural networks - Genetic Regulatory Network - GRN - Spiking Neural Network - SNN |
| Subjects: | H- INFORMATIQUE |
| 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 |
