Self-Regulation Mechanism of Temporally Asymmetric Hebbian Plasticity

• Published in: Neural computation Vol. 14; no. 12; pp. 2883 - 2902
• Main Authors: Matsumoto, Narihisa, Okada, Masato
• Format: Journal Article
• Language: English
• Published: One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.12.2002
• Subjects: Animals; Biological and medical sciences; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; Humans; Learning. Memory; Long-Term Potentiation - physiology; Mathematics; Models, Neurological; Nerve Net - physiology; Neuronal Plasticity - physiology; Numerical analysis; Numerical analysis. Scientific computation; Numerical simulation; Probability and statistics; Probability theory and stochastic processes; Psychology. Psychoanalysis. Psychiatry; Psychology. Psychophysiology; Reaction Time - physiology; Sciences and techniques of general use; Special processes (renewal theory, markov renewal processes, semi-markov processes, statistical mechanics type models, applications); Synapses - physiology; Theories; Spike; Computer simulation; Covariance analysis; Interference; Long term potentiation; Probability distribution; Long term variation; Neural network; Spatiotemporal pattern; Storage; Synaptic plasticity; Recursive method; Long term depression; Neural computition; Learning algorithm

Recent biological experimental findings have shown that synaptic plasticity depends on the relative timing of the pre- and postsynaptic spikes. This determines whether long-term potentiation (LTP) or long-term depression (LTD) is induced. This synaptic plasticity has been called temporally asymmetri...