Temporal pattern identification using spike-timing dependent plasticity

Authors:
Frédéric Henry;Emmanuel Daucé;Hédi Soula
Affiliations:
Movement & Perception (UMR6152), Faculty of Sport Science, University of the Mediterranean, 163, avenue de Luminy, CP910, 13288 Marseille CEDEX 9, France;Movement & Perception (UMR6152), Faculty of Sport Science, University of the Mediterranean, 163, avenue de Luminy, CP910, 13288 Marseille CEDEX 9, France and ícole Centrale de Marseille, Tech ...;Physiopathologie des Lipides et des Membranes, Institut National des Sciences Appliquées, Bítiment Pasteur, 69621 Villeurbanne Cedex, France
Venue:
Neurocomputing
Year:
2007

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Abstract

This paper addresses the question of the functional role of the dual application of positive and negative Hebbian time dependent plasticity rules, in the particular framework of reinforcement learning tasks. Our simulations take place in a recurrent network of spiking neurons with inhomogeneous synaptic weights. A spike-timing dependent plasticity (STDP) rule is combined with its ''opposite'', the ''anti-STDP''. A local regulation mechanism moreover maintains the postsynaptic neuron in the vicinity of a reference frequency, which forces the global dynamics to be maintained in a softly disordered regime. This approach is tested on a simple discrimination task which requires short-term memory: temporal pattern classification. We show that such temporal patterns can be categorised, and present tracks for future improvements.