Evolutionary bits'n'spikes

Authors:
Dario Floreano;Nicolas Schoeni;Gilles Caprari;Jesper Blynel
Affiliations:
Autonomous Systems Laboratory, Institute of Systems Engineering, Swiss Federal Institute of Technology(EPFL), CH-1015, Lausanne, Switzerland;Autonomous Systems Laboratory, Institute of Systems Engineering, Swiss Federal Institute of Technology(EPFL), CH-1015, Lausanne, Switzerland;Autonomous Systems Laboratory, Institute of Systems Engineering, Swiss Federal Institute of Technology(EPFL), CH-1015, Lausanne, Switzerland;Autonomous Systems Laboratory, Institute of Systems Engineering, Swiss Federal Institute of Technology(EPFL), CH-1015, Lausanne, Switzerland
Venue:
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Year:
2002

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Abstract

We describe a model and implementation of evolutionary spiking neurons for embedded microcontrollers with few bytes of memory and very low power consumption. The approach is tested with an autonomous microrobot of less than 1 in3 that evolves the ability to move in a small maze without human intervention and external computers. Considering the very large diffusion, small size, and low cost of embedded microcontrollers, the approach described here could find its way in several intelligent devices with sensors and/or actuators, as well as in smart credit cards.