ArticleeLife2021
Optimal plasticity for memory maintenance during ongoing synaptic change.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
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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
12 citing papers in PubMed, 26 citations in OpenAlex.
- Statistics of cortical representational drift can enable robust readout.PLoS computational biology · 2026Article
- Representational drift as the consequence of ongoing memory storage.Scientific reports · 2025Article
- Dancing Glycoproteins: Memory Pattern Formation by Protein Folding through Hydrogen Bonding.Current medicinal chemistry · 2025Article
- Differential stability of task variable representations in retrosplenial cortex.Nature communications · 2024Article
- Skewed distribution of spines is independent of presynaptic transmitter release and synaptic plasticity, and emerges early during adult neurogenesis.Open biology · 2023Article
- A stable sensory map emerges from a dynamic equilibrium of neurons with unstable tuning properties.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- 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
- Tuning instability of non-columnar neurons in the salt-and-pepper whisker map in somatosensory cortex.Nature communications · 2022Article
- Understanding the physical basis of memory: Molecular mechanisms of the engram.The Journal of biological chemistry · 2022Review
- 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
- Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning.PloS one · 2022Article
- Neuromodulation and Individuality.Frontiers in behavioral neuroscience · 2021Review
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
No grant is acknowledged in the PubMed record.
Abstract
Synaptic connections in many brain circuits fluctuate, exhibiting substantial turnover and remodelling over hours to days. Surprisingly, experiments show that most of this flux in connectivity persists in the absence of learning or known plasticity signals. How can neural circuits retain learned information despite a large proportion of ongoing and potentially disruptive synaptic changes? We address this question from first principles by analysing how much compensatory plasticity would be required to optimally counteract ongoing fluctuations, regardless of whether fluctuations are random or systematic. Remarkably, we find that the answer is largely independent of plasticity mechanisms and circuit architectures: compensatory plasticity should be at most equal in magnitude to fluctuations, and often less, in direct agreement with previously unexplained experimental observations. Moreover, our analysis shows that a high proportion of learning-independent synaptic change is consistent with plasticity mechanisms that accurately compute error gradients.
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What OpenQuestion holds
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.