Homeostatic plasticity in the developing nervous system

By Gina G. Turrigiano, Sacha B. Nelson. 2004

2,610 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology

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Citations in the corpus

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation (2016, positive): “The assumption of this normalization is plausible, because normalization mechanisms are widespread in cortex [55].”
Connectivity reflects coding: a model of voltage-based STDP with homeostasis (2010, methodology): “The amount of LTD in our model depended on a homeostatic process on a slower time scal”
Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS). (2014, neutral): “Generally speaking, previous neuronal activity modulates the capacity for subsequent plastic changes and this major influence refers to processes of homeostatic plasticity and metaplasticity (Bienenstock et al., 1982; Abraham and Tate, 1997; Turrigiano and Nelson, 2004).”
Synaptic scaling and homeostatic plasticity in the mouse visual cortex in vivo. (2013, background): “…maintaining a target firing rate in neurons, preventing too high or too low activity levels caused by synaptic strengthening or weakening due to long-term potentiation (LTP) and depression (LTD) or pathological conditions (Turrigiano et al., 1998; Burrone et al., 2002; Turrigiano and Nelson, 2004).”
The Self-Tuning Neuron: Synaptic Scaling of Excitatory Synapses (2008, background): “Neurons could sense changes in their own firing rate and globally scale synaptic weights up or down to compensate (Turrigiano and Nelson, 2004); alternatively, local changes in synaptic signaling could induce local homeostatic changes in synaptic transmission (Hou et al.”
Spontaneous network activity and synaptic development (2013, neutral): “Email: dkerschensteiner@wustl.edu”
Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex (2012, background): “Evidence supports a synaptic scaling mechanism in which, unlike in Hebbian learning, all synapses onto a cell are scaled up or down (Turrigiano & Nelson, 2004).”
The cell biology of synaptic plasticity: AMPA receptor trafficking. (2007, background): “Neuronal activity regulates many genes, and most likely many proteins are involved in regulating homeostatic plasticity (Turrigiano & Nelson 2004).”
NMDA receptor trafficking in synaptic plasticity and neuropsychiatric disorders (2007, background): “Neuronal activity maintains the weight of synaptic strength (and neuronal excitability) in an optimal range for information transfer — a process known as homeostatic plasticity or synaptic scalin”
Rapid synaptic scaling induced by changes in postsynaptic firing. (2008, background): “It also remains unclear which aspect of activity is sensed by neurons or networks during synaptic scaling: it has variously been proposed that neurons sense their own firing rate and globally scale synaptic weights up or down to compensate (Turrigiano and Nelson, 2004); that local changes in synapti”
How Important Is Weight Symmetry in Backpropagation? (2015, methodology): “, Synaptic Scaling) in the brain [16, 17, 18].”
The Convallis Rule for Unsupervised Learning in Cortical Networks (2013, methodology): “We implemented this via ‘‘synaptic scaling’’ [86], using an approach analogous to the projected subgradient method for constrained optimization.”
Dendritic excitability and synaptic plasticity. (2008, neutral): “quired, which include synaptic scaling (788, 790, 791) and”