ArticleFrontiers in computational neuroscience2011
Frequency-Dependent Changes in NMDAR-Dependent Synaptic Plasticity.
Article in Frontiers in computational neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Evidence for frequency-dependent cortical plasticity in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2017Trial
- A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity.PLoS computational biology · 2026Article
- Mild Focal Cooling Decouples Dendrites to Reconfigure Cortical Output.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Expansion of epileptogenic networks via neuroplasticity in neural mass models.PLoS computational biology · 2024Article
- Mild focal cooling selectively impacts computations in dendritic trees.bioRxiv : the preprint server for biology · 2024Article
- A stochastic model of hippocampal synaptic plasticity with geometrical readout of enzyme dynamics.eLife · 2023Article
- Article
- Spike-timing-dependent plasticity rewards synchrony rather than causality.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Article
- Enhanced hippocampal theta rhythmicity and emergence of eta oscillation in virtual reality.Nature neuroscience · 2021Article
- From membrane receptors to protein synthesis and actin cytoskeleton: Mechanisms underlying long lasting forms of synaptic plasticity.Seminars in cell & developmental biology · 2019Review
- Intracellular calcium stores mediate metaplasticity at hippocampal dendritic spines.The Journal of physiology · 2019Article
- Portraits of communication in neuronal networks.Nature reviews. Neuroscience · 2019Review
- Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model.Frontiers in computational neuroscience · 2019Article
- Article
- Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models.Frontiers in computational neuroscience · 2018Review
- Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level.Nature communications · 2017Article
- Calcium dynamics predict direction of synaptic plasticity in striatal spiny projection neurons.The European journal of neuroscience · 2017Article
- Gene networks activated by specific patterns of action potentials in dorsal root ganglia neurons.Scientific reports · 2017Article
- Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity.Scientific reports · 2016Article
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2 authors.
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Abstract
The NMDAR-dependent synaptic plasticity is thought to mediate several forms of learning, and can be induced by spike trains containing a small number of spikes occurring with varying rates and timing, as well as with oscillations. We computed the influence of these variables on the plasticity induced at a single NMDAR containing synapse using a reduced model that was analytically tractable, and these findings were confirmed using detailed, multi-compartment model. In addition to explaining diverse experimental results about the rate and timing dependence of synaptic plasticity, the model made several novel and testable predictions. We found that there was a preferred frequency for inducing long-term potentiation (LTP) such that higher frequency stimuli induced lesser LTP, decreasing as 1/f when the number of spikes in the stimulus was kept fixed. Among other things, the preferred frequency for inducing LTP varied as a function of the distance of the synapse from the soma. In fact, same stimulation frequencies could induce LTP or long-term depression depending on the dendritic location of the synapse. Next, we found that rhythmic stimuli induced greater plasticity then irregular stimuli. Furthermore, brief bursts of spikes significantly expanded the timing dependence of plasticity. Finally, we found that in the ∼5-15-Hz frequency range both rate- and timing-dependent plasticity mechanisms work synergistically to render the synaptic plasticity most sensitive to spike timing. These findings provide computational evidence that oscillations can have a profound influence on the plasticity of an NMDAR-dependent synapse, and show a novel role for the dendritic morphology in this process.
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