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Hebbian plasticity, a synaptic mechanism which detects and amplifies co-activity between neurons, is considered a key ingredient underlying learning and memory in the brain. However, Hebbian plasticity alone is unstable, leading to runaway neuronal activity, and therefore requires stabilization by additional compensatory processes. Traditionally, a diversity of homeostatic plasticity phenomena found in neural circuits is thought to play this role. However, recent modelling work suggests that the slow evolution of homeostatic plasticity, as observed in experiments, is insufficient to prevent instabilities originating from Hebbian plasticity. To remedy this situation, we suggest that homeostatic plasticity is complemented by additional rapid compensatory processes, which rapidly stabilize neuronal activity on short timescales.

Original publication

DOI

10.1016/j.conb.2017.03.015

Type

Journal article

Journal

Curr Opin Neurobiol

Publication Date

04/2017

Volume

43

Pages

166 - 176

Keywords

Homeostasis, Learning, Neuronal Plasticity, Neurons, Synapses, Time Factors