Temporal pattern identification using spike-timing dependent plasticity

Frédéric Henry, Emmanuel Daucé, Hédi Soula
2007 Neurocomputing  
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. The network spontaneously displays a self-sustained activity. A Spike-Timing Dependent Plasticity (STDP) rule is combined with its opposite, the anti-STDP. A local regulation mechanism
more » ... oreover maintains the output 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 identication. We show that such temporal patterns can be categorized, and present tracks for future improvements.
doi:10.1016/j.neucom.2006.10.082 fatcat:qgkyzk2zh5c7dir3llahhm565m