ArticleNature neuroscience2016
Computational principles of synaptic memory consolidation.
Article in Nature neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.
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Who cites it
90 citing papers in PubMed.
- Latent persistence in fMRI dynamics during human memory consolidation.Neuroimage. Reports · 2026Article
- Population sparseness determines strength of Hebbian plasticity for maximal memory lifetime in associative networks.PLoS computational biology · 2026Article
- Two-factor synaptic plasticity enables memory consolidation during neuronal burst firing.PNAS nexus · 2026Article
- GATE: Adaptive learning with working memory by information gating in multi-lamellar hippocampal formation.PLoS computational biology · 2026Article
- Bioinspired nanofluidic iontronic device with integrated photoreceptor and photosynaptic functions.Nature communications · 2026Article
- Spaces and sequences in the hippocampus: a homological perspective.Journal of computational neuroscience · 2026Article
- Behavioral timescale synaptic plasticity: properties, elements and functions.Nature neuroscience · 2026Review
- Burst firing creates an attractor in synaptic weight dynamics.PLoS computational biology · 2026Article
- Review
- Unconstrained Plasticity Disrupts Memory Consolidation in a Mouse Model of Rett Syndrome.bioRxiv : the preprint server for biology · 2026Article
- Article
- Stability through plasticity: Finding robust memories through representational drift.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Two-factor synaptic consolidation reconciles robustness with pruning and homeostatic scaling.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Bayesian continual learning and forgetting in neural networks.Nature communications · 2025Article
- Article
- Representational drift as the consequence of ongoing memory storage.Scientific reports · 2025Article
- Long-term potentiation-induced changes in actin dynamics and spine geometry persist on the timescale of the synaptic tag.Communications biology · 2025Article
- Formation of an expanding memory representation in the hippocampus.Nature neuroscience · 2025Article
- Concept transfer of synaptic diversity from biological to artificial neural networks.Nature communications · 2025Article
- Input-driven dynamics for robust memory retrieval in Hopfield networks.Science advances · 2025Article
30 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Memories are stored and retained through complex, coupled processes operating on multiple timescales. To understand the computational principles behind these intricate networks of interactions, we construct a broad class of synaptic models that efficiently harness biological complexity to preserve numerous memories by protecting them against the adverse effects of overwriting. The memory capacity scales almost linearly with the number of synapses, which is a substantial improvement over the square root scaling of previous models. This was achieved by combining multiple dynamical processes that initially store memories in fast variables and then progressively transfer them to slower variables. Notably, the interactions between fast and slow variables are bidirectional. The proposed models are robust to parameter perturbations and can explain several properties of biological memory, including delayed expression of synaptic modifications, metaplasticity, and spacing effects.
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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.