ArticleProceedings of the National Academy of Sciences of the United States of America2021
Drifting assemblies for persistent memory: Neuron transitions and unsupervised compensation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Manifold-constrained plasticity enables stable learning in recurrent neural circuits.PLoS computational biology · 2026Article
- Experience reorganizes content-specific memory traces in macaques.Nature neuroscience · 2026Article
- Statistics of cortical representational drift can enable robust readout.PLoS computational biology · 2026Article
- Locally balanced inhibition allows for robust learning of input-output associations in feedforward networks with Hebbian plasticity.Journal of computational neuroscience · 2026Article
- Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Stability through plasticity: Finding robust memories through representational drift.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Representational drift as the consequence of ongoing memory storage.Scientific reports · 2025Article
- Representational drift and learning-induced stabilization in the piriform cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
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- Homeostasis of a representational map in the neocortex.Nature neuroscience · 2025Article
- Sensory experience steers representational drift in mouse visual cortex.Nature communications · 2024Article
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- Article
- Cortical cell assemblies and their underlying connectivity: An in silico study.PLoS computational biology · 2024Article
- Reconstructing computational system dynamics from neural data with recurrent neural networks.Nature reviews. Neuroscience · 2023Review
- NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Purely STDP-based assembly dynamics: Stability, learning, overlaps, drift and aging.PLoS computational biology · 2023Article
- The geometry of representational drift in natural and artificial neural networks.PLoS computational biology · 2022Article
- Small, correlated changes in synaptic connectivity may facilitate rapid motor learning.Nature communications · 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
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Change is ubiquitous in living beings. In particular, the connectome and neural representations can change. Nevertheless, behaviors and memories often persist over long times. In a standard model, associative memories are represented by assemblies of strongly interconnected neurons. For faithful storage these assemblies are assumed to consist of the same neurons over time. Here we propose a contrasting memory model with complete temporal remodeling of assemblies, based on experimentally observed changes of synapses and neural representations. The assemblies drift freely as noisy autonomous network activity and spontaneous synaptic turnover induce neuron exchange. The gradual exchange allows activity-dependent and homeostatic plasticity to conserve the representational structure and keep inputs, outputs, and assemblies consistent. This leads to persistent memory. Our findings explain recent experimental results on temporal evolution of fear memory representations and suggest that memory systems need to be understood in their completeness as individual parts may constantly change.
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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.