ArticleFrontiers in synaptic neuroscience2020
A Practical Guide to Using CV Analysis for Determining the Locus of Synaptic Plasticity.
Article in Frontiers in synaptic neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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27 citing papers in PubMed.
- On variability in local field potentials.Communications biology · 2026Article
- Laser microsurgery for presynaptic interrogation.Nature protocols · 2025Review
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- Norepinephrine signals through astrocytes to modulate synapses.Science (New York, N.Y.) · 2025Article
- Coincidence detection between apical and basal dendrites drives STDP in cerebellar Golgi cells.Communications biology · 2025Article
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- Mitogen-activated protein kinase dependent presynaptic potentiation in the lateral habenula mediates depressive-like behaviors in rats.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Postsynaptic spiking determines anti-Hebbian LTD in visual cortex basket cells.Frontiers in synaptic neuroscience · 2025Article
- Developmental Spike Timing-Dependent Long-Term Depression Requires Astrocyte d-Serine at L2/3-L2/3 Synapses of the Mouse Somatosensory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Astrocytes mediate two forms of spike timing-dependent depression at entorhinal cortex-hippocampal synapses.eLife · 2024Article
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- Activation of Metabotropic Glutamate Receptor 3 Modulates Thalamo-accumbal Transmission and Rescues Schizophrenia-Like Physiological and Behavioral Deficits.Biological psychiatry · 2024Article
- Presynaptic nanoscale components of retrograde synaptic signaling.Science advances · 2024Article
- Enhanced Release Probability without Changes in Synaptic Delay during Analogue-Digital Facilitation.Cells · 2024Article
- Distinct GABAergic modulation of timing-dependent LTP in CA1 pyramidal neurons along the longitudinal axis of the mouse hippocampus.iScience · 2024Article
- Glutamate Spillover Dynamically Strengthens Gabaergic Synaptic Inhibition of the Hypothalamic Paraventricular Nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- The spike-timing-dependent plasticity of VIP interneurons in motor cortex.Frontiers in cellular neuroscience · 2024Article
- Altered Thalamocortical Signaling in a Mouse Model of Parkinson's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Variance analysis as a method to predict the locus of plasticity at populations of non-uniform synapses.Frontiers in cellular neuroscience · 2023Article
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5 authors.
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Abstract
Long-term synaptic plasticity is widely believed to underlie learning and memory in the brain. Whether plasticity is primarily expressed pre- or postsynaptically has been the subject of considerable debate for many decades. More recently, it is generally agreed that the locus of plasticity depends on a number of factors, such as developmental stage, induction protocol, and synapse type. Since presynaptic expression alters not just the gain but also the short-term dynamics of a synapse, whereas postsynaptic expression only modifies the gain, the locus has fundamental implications for circuits dynamics and computations in the brain. It therefore remains crucial for our understanding of neuronal circuits to know the locus of expression of long-term plasticity. One classical method for elucidating whether plasticity is pre- or postsynaptically expressed is based on analysis of the coefficient of variation (CV), which serves as a measure of noise levels of synaptic neurotransmission. Here, we provide a practical guide to using CV analysis for the purposes of exploring the locus of expression of long-term plasticity, primarily aimed at beginners in the field. We provide relatively simple intuitive background to an otherwise theoretically complex approach as well as simple mathematical derivations for key parametric relationships. We list important pitfalls of the method, accompanied by accessible computer simulations to better illustrate the problems (downloadable from GitHub), and we provide straightforward solutions for these issues.
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