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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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 194kB |
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) |
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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 - Toulouse INP (FRANCE) French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE) Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE) |
Laboratory name: | |
Statistics: | download |
Deposited On: | 28 Mar 2018 14:25 |
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