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Proceedings Paper

Spike-timing-dependent plasticity in spiking neuron networks for robot navigation control
Author(s): Paolo Arena; Fabio Danieli; Luigi Fortuna; Mattia Frasca; Luca Patane
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Paper Abstract

In this paper a biologically-inspired network of spiking neurons is used for robot navigation control. The implemented scheme is able to process information coming from the robot contact sensors in order to avoid obstacles and on the basis of these actions to learn how to respond to stimuli coming from range finder sensors. The implemented network is therefore able of reinforcement learning through a mechanism based on operant conditioning. This learning takes place according to a plasticity law in the synapses, based on spike timing. Simulation results discussed in the paper show the suitability of the approach and interesting adaptive properties of the network.

Paper Details

Date Published: 29 June 2005
PDF: 8 pages
Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); doi: 10.1117/12.607867
Show Author Affiliations
Paolo Arena, Univ. degli Studi di Catania (Italy)
Fabio Danieli, Univ. degli Studi di Catania (Italy)
Luigi Fortuna, Univ. degli Studi di Catania (Italy)
Mattia Frasca, Univ. degli Studi di Catania (Italy)
Luca Patane, Univ. degli Studi di Catania (Italy)

Published in SPIE Proceedings Vol. 5839:
Bioengineered and Bioinspired Systems II
Ricardo A. Carmona; Gustavo Linan-Cembrano, Editor(s)

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