Dynamic memory for robot control via delay neural networks

Authors:
Francis Jeanson;Anthony White
Affiliations:
Carleton University, Ottawa, ON, Canada;Carleton University, Ottawa, ON, Canada
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

Citing 2
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Evolving axonal delay neural networks for robot control

Proceedings of the 14th annual conference on Genetic and evolutionary computation

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Abstract

We present a procedure to decode spatio-temporal spiking patterns in delay coincidence detection networks with stable limit cycles. We apply this to control a simulated e-puck robot to solve the t-maze memory task. This work shows that dynamic memory modules formed by coincidence detection neurones with transmission delays can be effectively coupled to produce adaptive behaviours.