Discrete synaptic states define a major mechanism of synapse plasticity.
By Johanna M. Montgomery, D. Madison. 2004
179 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Karl J. Friston
- Klaas E. Stephan
- Torsten Baldeweg
- Edgar Körner
- Andreas Knoblauch
- Surya Ganguli
- Marc-Oliver Gewaltig
- Florian Hauser
In Electrical and Electronic Engineering
- Andreas Knoblauch
- Edgar Körner
- Günther Palm
- Madhu S. Advani
- Marc-Oliver Gewaltig
- Florian Hauser
- Subhaneil Lahiri
- Surya Ganguli
Citations in the corpus
- Synaptic plasticity, memory and the hippocampus: a neural network approach to causality (2008, unknown): “The strategies we have described will work optimally if the number of synaptic states is limited — ideally, each synapse would adopt one of three discrete states: basal, potentiated or depresse”
- Synaptic plasticity and dysconnection in schizophrenia. (2006, background): “In contrast, LTSP includes enduring changes that last hours and possibly years (long-term potentiation and long-term depression) and depend on lasting structural alterations of the synapse.”
- Metaplasticity: tuning synapses and networks for plasticity (2008, background): “It is interesting to note, therefore, that in hippocampal organotypic cultures up to five discrete synaptic states have been described, with the number being dependent on both the degree of synaptic efficacy evident at the synapse and the history of prior activity that generated that level of effica”
- Statistical mechanics of complex neural systems and high dimensional data (2013, background): “Note that rule 3 cannot change any synaptic weight wi; it is thus a metaplastic rule [92], or a rule that changes an internal state of the synapse without changing its synaptic efficacy.”
- Does Spike-Timing-Dependent Synaptic Plasticity Couple or Decouple Neurons Firing in Synchrony? (2012, background): “There is actually another implicit assumption (made by virtually all STDP models) that all spike pairings would contribute linearly to weight change on the short time scale of plasticity induction, whereas there is evidence that the initial phase of LTP or LTD is highly non-linear involving transiti”
- The Computational Anatomy of Psychosis (2013, background): “This is because they regulate the functional state and number of AMPA-Rs – by phosphorylation or by changing the trafficking of AMPA-R subunits to and from the cell membrane (Passafaro et al., 2001; Montgomery and Madison, 2004; Bagal et al., 2005).”