Metaplasticity: tuning synapses and networks for plasticity

By Wickliffe C. Abraham. 2008

1,102 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology, Neuroscience

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Citations in the corpus

A Comprehensive Survey of Continual Learning: Theory, Method and Application (2023, methodology): “of synaptic plasticity” [3], [4], [77], corresponding to the use of meta-learning [118], [185], [360]; and (4) inhibitory synapses for excited neurons to reduce the activity of other neurons [20], [54], [112], [178], which acts similarly to the binary mask for parameter allocation [375], [427].”
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].”
Short-term plasticity as cause–effect hypothesis testing in distal reward learning (2014, background): “The consolidation process, in particular, expresses a meta-plasticity mechanism (Abraham and Bear, 1996; Abraham and Robins, 2005; Abraham, 2008), with similarities to the cascade model in Fusi et al (2005), because frequent short-term updates are preconditions for further longterm potentiation (Goe”
Frontiers in Synaptic Neuroscience Synaptic Neuroscience (neutral): “What might cause such a shift? Several answers to this question have been offered (Abraham, 2008).”
Metabotropic glutamate receptors: From the workbench to the bedside (2010, background): “Metaplasticity is the plasticity of synaptic plasticity and comes in many varieties (Abraham, 2008).”
Computational models of long term plasticity and memory (2017, background): “…(e.g. homeostatic plasticity occurs on timescales that are significantly longer than those of long term synaptic plasticity[Turrigiano and Nelson, 2004]) and, most importantly, on the history of previous synaptic modifications, a phenomenon called meta-plasticity [Abraham, 2008] (see also below).”
Stable Learning in Stochastic Network States (2012, background): “This process, termed metaplasticity (Deisseroth et al., 1995; Abraham and Bear, 1996), has been shown to take place through various molecular pathways and to be critical for the stabilization of learned statistics (Abraham, 2008).”
The restless engram: consolidations never end. (2012, background): “Moreover, many of these forms of plasticity are subject to modulation by other transmitter systems and by the past stimulation history of the individual synapse itself in what is referred to as metaplasticity (Abraham, 2008).”
Synaptic Consolidation: From Synapses to Behavioral Modeling (2015, background): “…in vitro data including experiments on cross-tagging (Frey and Morris, 1997; Sajikumar and Frey, 2004b), tag-resetting and depotentia-tion (Bashir and Collingridge, 1994; Sajikumar and Frey, 2004a), metaplasticity (Abraham, 2008), and the influence of novelty on behavior (Moncada and Viola, 2007).”
Pyramidal Neuron Conductance State Gates Spike-Timing-Dependent Plasticity (2010, methodology): “This is reminiscent of the sliding threshold hypothesis of the Bienenstock–Cooper–Munro model for rate-based plasticity (Bienenstock et al., 1982; Abraham, 2008).”
Musical training as a framework for brain plasticity: behavior, function, and structure. (2012, background): “…to findings of increased plasticity on the cellular level due to pretreatment or previous learning or excitation history of the neurons involved, an effect termed metaplasticity to indicate that the rate of plasticity is altered on a higher-order level (Abraham, 2008; Abraham and Bear, 1996).”
The molecular and systems biology of memory. (2014, positive): “Moreover, many of these forms of plasticity are subject to modulation by other transmitter systems and by the past stimulation history of the individual synapse itself in what is referred to as metaplasticity (Abraham, 2008).”
Biological underpinnings for lifelong learning machines (2022, background): “This ‘plas-ticity of plasticity’ has been named metaplasticity: the ability of a synapse to be modified depends on its internal biochemical states, which in turn depend on the history of synaptic modifications 59,60 and recent neural activity 61 .”