Reinforcement Spike-timing-dependent Plasticity (STDP) models of Learning for Songbird's and Monkey's Sensorymotor Systems

MengRu Li

Learning is the change in neuronal network which enables the animal to predict better or to reshape animal behaviors to control more accurately or efficiently. Neuronal long-term potentiation, LTP, and long-term depression, LTD, have been found to depend on the timing differences of presynpatic and postsynaptic spikes. New spike-timing-dependent learning models is presented compared to the traditional rate model. The potential application of the new learning models to songbird vocal learning or to monkey's motor learning may help us to understand how the network evolves to store the information.

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