ArticleProceedings of the National Academy of Sciences of the United States of America2022
Self-healing codes: How stable neural populations can track continually reconfiguring neural representations.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 57 citations in OpenAlex.
- Manifold-constrained plasticity enables stable learning in recurrent neural circuits.PLoS computational biology · 2026Article
- Statistics of cortical representational drift can enable robust readout.PLoS computational biology · 2026Article
- Information theoretic measures of neural and behavioural coupling predict representational drift.PLoS computational biology · 2026Article
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Distributed and drifting signals for working memory load in human cortex.bioRxiv : the preprint server for biology · 2025Article
- Representational drift as the consequence of ongoing memory storage.Scientific reports · 2025Article
- Representational drift without synaptic plasticity.bioRxiv : the preprint server for biology · 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
- Homeostasis of a representational map in the neocortex.Nature neuroscience · 2025Article
- Transcriptional determinants of goal-directed learning and representational drift in the parahippocampal cortex.Cell reports · 2025Article
- Sensory experience steers representational drift in mouse visual cortex.Nature communications · 2024Article
- Prefrontal neuronal dynamics in the absence of task execution.Nature communications · 2024Article
- Unsupervised restoration of a complex learned behavior after large-scale neuronal perturbation.Nature neuroscience · 2024Article
- Article
- A persistent prefrontal reference frame across time and task rules.Nature communications · 2024Article
- 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
- Distinct ventral stream and prefrontal cortex representational dynamics during sustained conscious visual perception.Cell reports · 2023Article
- Long-term stability of single neuron activity in the motor system.Nature neuroscience · 2022Article
- Tuning instability of non-columnar neurons in the salt-and-pepper whisker map in somatosensory cortex.Nature communications · 2022Article
- Construction of complex memories via parallel distributed cortical-subcortical iterative integration.Trends in neurosciences · 2022Review
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2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
As an adaptive system, the brain must retain a faithful representation of the world while continuously integrating new information. Recent experiments have measured population activity in cortical and hippocampal circuits over many days and found that patterns of neural activity associated with fixed behavioral variables and percepts change dramatically over time. Such "representational drift" raises the question of how malleable population codes can interact coherently with stable long-term representations that are found in other circuits and with relatively rigid topographic mappings of peripheral sensory and motor signals. We explore how known plasticity mechanisms can allow single neurons to reliably read out an evolving population code without external error feedback. We find that interactions between Hebbian learning and single-cell homeostasis can exploit redundancy in a distributed population code to compensate for gradual changes in tuning. Recurrent feedback of partially stabilized readouts could allow a pool of readout cells to further correct inconsistencies introduced by representational drift. This shows how relatively simple, known mechanisms can stabilize neural tuning in the short term and provides a plausible explanation for how plastic neural codes remain integrated with consolidated, long-term representations.
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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.