TY  - CONF
ID  - publications29193
UR  - https://publications.ut-capitole.fr/id/eprint/29193/
A1  - Wilson, Dennis
A1  - Cussat-Blanc, Sylvain
A1  - Luga, Hervé
Y1  - 2016///
N2  - 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.
PB  - MIT Press
KW  - Neural networks - Genetic Regulatory Network  - GRN - Spiking Neural Network - SNN
TI  - Evolving genetic regulatory networks for online neurogenesis
SP  - 14
M2  - Cancun, Mexico
AV  - public
EP  - 15
T2  - 6th Morphogenetic Engineering Workshop (MEW 2016) at ALife XV : Artificial Life Conference
ER  -