Long-term Synaptic Plasticity: Circuit Perturbation and Stabilization
By Joo-Min Park, Sung-Cherl Jung, Su-yong Eun. 2014
21 citations recorded by the source corpus.
At central synapses, activity-dependent synaptic plasticity has a crucial role in information processing, storage, learning, and memory under both physiological and pathological conditions. One widely accepted model of learning mechanism and information processing in the brain is Hebbian Plasticity: long-term potentiation (LTP) and long-term depression (LTD). LTP and LTD are respectively activity-dependent enhancement and reduction in the efficacy of the synapses, which are rapid and synapse-specific processes. A number of recent studies have a strong focal point on the critical importance of another distinct form of synaptic plasticity, non-Hebbian plasticity. Non-Hebbian plasticity dynamically adjusts synaptic strength to maintain stability. This process may be very slow and occur cell-widely. By putting them all together, this mini review defines an important conceptual difference between Hebbian and non-Hebbian plasticity.
Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering
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In Cellular and Molecular Neuroscience
In Electrical and Electronic Engineering
Citations in the corpus
- NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks (2022, background): “A specific instance of Hebbian plasticity is Spike Timing Dependent Plasticity (STDP), which controls the strength of a synapse based on the relative timing of the corresponding neurons’ activity (Park et al., 2014; Cooke & Bliss, 2006).”