ArticleProceedings of the National Academy of Sciences of the United States of America2024
A biochemical description of postsynaptic plasticity-with timescales ranging from milliseconds to seconds.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Behavioral timescale synaptic plasticity: properties, elements and functions.Nature neuroscience · 2026Review
- The perforant pathway and CA3-Schaffer collateral afferents coordinate to regulate spatial learning.Communications biology · 2026Article
- A caveat regarding the unfolding argument: implications of plasticity.Neuroscience of consciousness · 2026Article
- Astrocyte-Mediated Plasticity: Multi-Scale Mechanisms Linking Synaptic Dynamics to Learning and Memory.Cells · 2025Review
- A sonoelectric niche for noninvasive intervertebral disc regeneration via targeted cell cycle modulation.Science advances · 2025Article
- A generalized mathematical framework for the calcium control hypothesis describes weight-dependent synaptic plasticity.Journal of computational neuroscience · 2025Article
- Metaplasticity and continual learning: mechanisms subserving brain computer interface proficiency.Journal of neural engineering · 2025Article
- Data-driven synapse classification reveals a logic of glutamate receptor diversity.bioRxiv : the preprint server for biology · 2025Article
- Harnessing BDNF Signaling to Promote Resilience in Aging.Aging and disease · 2024Review
- Review
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synaptic plasticity [long-term potentiation/depression (LTP/D)], is a cellular mechanism underlying learning. Two distinct types of early LTP/D (E-LTP/D), acting on very different time scales, have been observed experimentally-spike timing dependent plasticity (STDP), on time scales of tens of ms; and behavioral time scale synaptic plasticity (BTSP), on time scales of seconds. BTSP is a candidate for a mechanism underlying rapid learning of spatial location by place cells. Here, a computational model of the induction of E-LTP/D at a spine head of a synapse of a hippocampal pyramidal neuron is developed. The single-compartment model represents two interacting biochemical pathways for the activation (phosphorylation) of the kinase (CaMKII) with a phosphatase, with ion inflow through channels (NMDAR, CaV1,Na). The biochemical reactions are represented by a deterministic system of differential equations, with a detailed description of the activation of CaMKII that includes the opening of the compact state of CaMKII. This single model captures realistic responses (temporal profiles with the differing timescales) of STDP and BTSP and their asymmetries. The simulations distinguish several mechanisms underlying STDP vs. BTSP, including i) the flow of [Formula: see text] through NMDAR vs. CaV1 channels, and ii) the origin of several time scales in the activation of CaMKII. The model also realizes a priming mechanism for E-LTP that is induced by [Formula: see text] flow through CaV1.3 channels. Once in the spine head, this small additional [Formula: see text] opens the compact state of CaMKII, placing CaMKII ready for subsequent induction of LTP.
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