Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity

Authors:
Stefano Fusi
Affiliations:
-
Venue:
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Year:
2002

Citing 7
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Abstract

Long term synaptic changes induced by neural spike activity are believed to underlie learning and memory. Spike-driven long term synaptic plasticity has been investigated in simplified situations in which the patterns of asynchronous activity to be encoded were statistically independent. An extra regulatory mechanism is required to extend the learning capability to more complex and natural stimuli. This mechanism is provided by the effects of the action potentials that are believed to be responsible for spike-timing dependent plasticity. These effects, when combined with the dependence of synaptic plasticity on the postsynaptic depolarization, produce the learning rule needed for storing correlated patterns of asynchronous neuronal activity.