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Temporal pattern identification using spike-timing dependent plasticity
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
doi:10.1016/j.neucom.2006.10.082
fatcat:qgkyzk2zh5c7dir3llahhm565m