ArticlePLoS computational biology2012
Molecular constraints on synaptic tagging and maintenance of long-term potentiation: a predictive model.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- HySimODE: a hybrid stochastic-deterministic simulation framework for multiscale models of biological systems.Bioinformatics (Oxford, England) · 2026Article
- Plastic Arbor: A modern simulation framework for synaptic plasticity-From single synapses to networks of morphological neurons.PLoS computational biology · 2026Article
- Synapses tagged, memories kept: synaptic tagging and capture hypothesis in brain health and disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Network motifs exhibiting a differential response to spaced and massed inputs.Learning & memory (Cold Spring Harbor, N.Y.) · 2024Article
- Computational insights into mRNA and protein dynamics underlying synaptic plasticity rules.Molecular and cellular neurosciences · 2023Review
- Methodology for development of single cell dendritic spine (SCDS) synaptic tagging and capture model using Virtual Cell (VCell).MethodsX · 2023Article
- Computational analysis of memory consolidation following inhibitory avoidance (IA) training in adult and infant rats: Critical roles of CaMKIIα and MeCP2.PLoS computational biology · 2022Article
- A computational model to explore how temporal stimulation patterns affect synapse plasticity.PloS one · 2022Article
- HillTau: A fast, compact abstraction for model reduction in biochemical signaling networks.PLoS computational biology · 2021Article
- Energetics of stochastic BCM type synaptic plasticity and storing of accurate information.Journal of computational neuroscience · 2021Article
- Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks.Communications biology · 2021Article
- The biophysical basis underlying the maintenance of early phase long-term potentiation.PLoS computational biology · 2021Article
- Modeling suggests combined-drug treatments for disorders impairing synaptic plasticity via shared signaling pathways.Journal of computational neuroscience · 2021Article
- A Simplified Plasticity Model Based on Synaptic Tagging and Capture Theory: Simplified STC.Frontiers in computational neuroscience · 2021Article
- Neuronal Plasticity: Neuronal Organization is Associated with Neurological Disorders.Journal of molecular neuroscience : MN · 2020Review
- Comparing Theories for the Maintenance of Late LTP and Long-Term Memory: Computational Analysis of the Roles of Kinase Feedback Pathways and Synaptic Reactivation.Frontiers in computational neuroscience · 2020Article
- From membrane receptors to protein synthesis and actin cytoskeleton: Mechanisms underlying long lasting forms of synaptic plasticity.Seminars in cell & developmental biology · 2019Review
- How can memories last for days, years, or a lifetime? Proposed mechanisms for maintaining synaptic potentiation and memory.Learning & memory (Cold Spring Harbor, N.Y.) · 2019Review
- AMPA receptor trafficking and its role in heterosynaptic plasticity.Scientific reports · 2018Article
- Coupled feedback loops maintain synaptic long-term potentiation: A computational model of PKMzeta synthesis and AMPA receptor trafficking.PLoS computational biology · 2018Article
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3 authors.
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Abstract
Protein synthesis-dependent, late long-term potentiation (LTP) and depression (LTD) at glutamatergic hippocampal synapses are well characterized examples of long-term synaptic plasticity. Persistent increased activity of protein kinase M ζ (PKMζ) is thought essential for maintaining LTP. Additional spatial and temporal features that govern LTP and LTD induction are embodied in the synaptic tagging and capture (STC) and cross capture hypotheses. Only synapses that have been "tagged" by a stimulus sufficient for LTP and learning can "capture" PKMζ. A model was developed to simulate the dynamics of key molecules required for LTP and LTD. The model concisely represents relationships between tagging, capture, LTD, and LTP maintenance. The model successfully simulated LTP maintained by persistent synaptic PKMζ, STC, LTD, and cross capture, and makes testable predictions concerning the dynamics of PKMζ. The maintenance of LTP, and consequently of at least some forms of long-term memory, is predicted to require continual positive feedback in which PKMζ enhances its own synthesis only at potentiated synapses. This feedback underlies bistability in the activity of PKMζ. Second, cross capture requires the induction of LTD to induce dendritic PKMζ synthesis, although this may require tagging of a nearby synapse for LTP. The model also simulates the effects of PKMζ inhibition, and makes additional predictions for the dynamics of CaM kinases. Experiments testing the above predictions would significantly advance the understanding of memory maintenance.
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