Brain development, sensory information processing, and learning and memory processes depend on Hebbian forms of synaptic plasticity, and on the remodeling and pruning of synaptic connections. Neurons in networks implicated in these processes carry out their functions while facing constant perturbation; homeostatic responses are therefore required to maintain neuronal activity within functional ranges for proper brain function. Here, we will review in vitro and in vivo studies demonstrating that several mechanisms underlie homeostatic plasticity of excitatory synapses, and identifying participant molecular players. Emerging evidence suggests a link between disrupted homeostatic synaptic plasticity and neuropsychiatric and neurologic disorders. Keywords: AMPA receptors, experience-dependent plasticity, Hebbian synaptic plasticity, homeostatic synaptic plasticity, synapse, synaptic scaling.This article is part of a mini review series: "Synaptic Function and Dysfunction in Brain Diseases".
Hebbian and homeostatic synaptic plasticityLearning and memory as well as other forms of human behavior possibly rely on the ability of the mammalian brain to undergo experience-based adaptations in synaptic strength, which becomes stronger or weaker in response to specific patterns of activity. Hebbian synaptic plasticity is the most widely studied form of long-lasting activity-dependent changes in synaptic strength and includes both long-term potentiation (LTP) and its counterpart, long-term depression (LTD). Hebbian forms of plasticity typically function in an input-specific manner, are rapidly induced and long-lasting, and require correlated firing of the pre-and post-synaptic neurons (Malenka and Bear 2004;Luscher and Malenka 2012;Huganir and Nicoll 2013). Because these hallmark features facilitate the reinforcement of precise synaptic connections, which is fundamental for information storage in the brain, these Hebbian mechanisms are thought to be the cellular correlates of learning and memory. However, these same features of Hebbian plasticity pose a stability problem to neural networks. The requirement of correlated activity to reinforce useful pathways in the brain provokes positive feedback loops of activity-dependent changes in synaptic strength. For instance, once LTP is induced, potentiated synapses are more excitable and can undergo further potentiation more easily, entering a cycle that, if unconstrained, eventually drives activity to a state prone to hyperexcitability