Download e-book Classical theories of unsupervised learning and Hebbian synaptic plasticity have always been formulated on the level of firing rates, but theoreticians have - for a long time - wondered about the timing requirements for plasticity. The intriguing theoretical problem of time in Hebbian learning led to first models of spike-timing dependent plasticity (STDP) that preceded and paralleled the discovery of STDP. In the last years, the simple picture of additive STDP models was modified and several nonlinear aspects and biophysical details have been added to the models. Theoretical predictions of functional consequences of STDP in simple or even large, neuronal networks have appeared. This Research Topic will review these trends and provide a forum for publication of recent advances and original research in theory and modeling of STDP.
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