Computational Neuroscience
Anti-hebbian plasticity is a form of synaptic plasticity that occurs when the strength of a synapse decreases as the presynaptic neuron is active while the postsynaptic neuron is not. This concept contrasts with Hebbian plasticity, where synapses are strengthened when both neurons are active simultaneously. Anti-hebbian plasticity plays a vital role in the balancing of neural circuits, contributing to processes like homeostasis and learning by preventing excessive excitation within neural networks.
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