The Self-Tuning Neuron: Synaptic Scaling of Excitatory Synapses

By Gina G. Turrigiano. 2008

1,542 citations recorded by the source corpus.

Homeostatic synaptic scaling is a form of synaptic plasticity that adjusts the strength of all of a neuron’s excitatory synapses up or down to stabilize firing. Current evidence suggests that neurons detect changes in their own firing rates through a set of calcium-dependent sensors that then regulate receptor trafficking to increase or decrease the accumulation of glutamate receptors at synaptic sites. Additional mechanisms may allow local or network-wide changes in activity to be sensed through parallel pathways, generating a nested set of homeostatic mechanisms that operate over different temporal and spatial scales.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering

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Citations in the corpus

The temporal paradox of Hebbian learning and homeostatic plasticity (2017, background): “Homeostatic plasticity, on the other hand, acts on much longer timescales of hours to days [14, 16, 19, 29, 55, 56, 80].”
Firing Rate Homeostasis in Visual Cortex of Freely Behaving Rodents (2013, background): “Because neocortical microcircuits are complex and recurrent, andmany forms of plasticity exist at many sites within these circuits (Nelson and Turrigiano, 2008), it is highly likely that other forms of plasticity in addition to LTD and synaptic scaling contribute to the sequential depression and…”
Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement. (2011, methodology): “…evidence that this form of homeostatic plasticity is important for the in vivo function of cortical networks; several recent reviews provide an excellent discussion of presynaptic and/or local forms of compensatory synaptic plasticity (Thiagarajan et al. 2007, Turrigiano 2008, Yu & Goda 2009).”
Hebbian and Homeostatic Plasticity Mechanisms in Regular Spiking and Intrinsic Bursting Cells of Cortical Layer 5 (2015, positive): “Theoretical considerations suggest that Hebbian plasticity requires homeostatic plasticity to maintain neuronal responses within a normal operating range (Turrigiano, 2008; Turrigiano et al., 1998).”
From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation (2012, background): “are often affected and substantially altered by additional homeostatic dynamics (Turrigiano, 2008) and neuromodu-”
Models of Metaplasticity: A Review of Concepts (2015, background): “In contrast, homeostatic processes counterbalance such intense spiking activity to maintain the global stability in neuronal networks (Turrigiano and Nelson, 2000; Turrigiano, 2008; Pozo and Goda, 2010).”
Pyramidal Neuron Conductance State Gates Spike-Timing-Dependent Plasticity (2010, background): “This concern has led to the inclusion in network models of separate biophysical processes, such as synaptic scaling, that might stabilize synaptic weights in the midst of Hebbian change (Turrigiano, 2008; Watt and Desai, 2010).”
Tumor Necrosis Factor Alpha: A Link between Neuroinflammation and Excitotoxicity (2014, positive): “Thus, AMPARs trafficking has been implicated in homeostatic synaptic scaling and other forms of longterm synaptic strength adjustments [4, 103, 104].”
Neuronal homeostasis: time for a change? (2011, background): “This problem, which has received a great deal of attention in the context of synaptic homeostasis (Turrigiano, 2008), has not been addressed in detail for homeostatic control of intrinsic properties (but see Siegel et al.”
The dialectic of Hebb and homeostasis (2017, background): “B 3720160258 2 the postsynaptic weights of excitatory synapses [3].”