ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2014
Long-term memory stabilized by noise-induced rehearsal.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 33 citations in OpenAlex.
- Unraveling the mysteries of dendritic spine dynamics: Five key principles shaping memory and cognition.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2023Article
- Modulation of working memory duration by synaptic and astrocytic mechanisms.PLoS computational biology · 2022Article
- Stochastic consolidation of lifelong memory.Scientific reports · 2022Article
- Self-healing codes: How stable neural populations can track continually reconfiguring neural representations.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Variable specificity of memory trace reactivation during hippocampal sharp wave ripples.Current opinion in behavioral sciences · 2020Article
- Stable memory with unstable synapses.Nature communications · 2019Article
- 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
- Training and Spontaneous Reinforcement of Neuronal Assemblies by Spike Timing Plasticity.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder.Frontiers in computational neuroscience · 2019Article
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- The right time to learn: mechanisms and optimization of spaced learning.Nature reviews. Neuroscience · 2016Review
- Modeling maintenance of long-term potentiation in clustered synapses: long-term memory without bistability.Neural plasticity · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Cortical networks can maintain memories for decades despite the short lifetime of synaptic strengths. Can a neural network store long-lasting memories in unstable synapses? Here, we study the effects of ongoing spike-timing-dependent plasticity (STDP) on the stability of memory patterns stored in synapses of an attractor neural network. We show that certain classes of STDP rules can stabilize all stored memory patterns despite a short lifetime of synapses. In our model, unstructured neural noise, after passing through the recurrent network connections, carries the imprint of all memory patterns in temporal correlations. STDP, combined with these correlations, leads to reinforcement of all stored patterns, even those that are never explicitly visited. Our findings may provide the functional reason for irregular spiking displayed by cortical neurons and justify models of system memory consolidation. Therefore, we propose that irregular neural activity is the feature that helps cortical networks maintain stable connections.
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Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.