ReviewBiological cybernetics2022
Drifting neuronal representations: Bug or feature?
Review in Biological cybernetics, 2022. 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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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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Who cites it
21 citing papers in PubMed.
- Article
- Structure, disorder, and dynamics in task-trained recurrent neural circuits.bioRxiv : the preprint server for biology · 2026Article
- Single-Field Evolution Rule Governs the Dynamics of Representational Drift in Mouse Hippocampal Dorsal CA1 Region.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- How the olfactory bulb maintains stable odor manifolds amid adaptation and representational drift.bioRxiv : the preprint server for biology · 2026Article
- Stability through plasticity: Finding robust memories through representational drift.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Article
- Synaptic plasticity rules driving representational shifting in the hippocampus.Nature neuroscience · 2025Article
- Article
- Summary statistics of learning link changing neural representations to behavior.Frontiers in neural circuits · 2025Review
- Memory engram stability and flexibility.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits.PLoS computational biology · 2024Article
- Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits.bioRxiv : the preprint server for biology · 2024Article
- Unsupervised restoration of a complex learned behavior after large-scale neuronal perturbation.Nature neuroscience · 2024Article
- Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb.bioRxiv : the preprint server for biology · 2023Article
- Representational drift in barrel cortex is receptive field dependent.bioRxiv : the preprint server for biology · 2023Article
- Effects of stochastic coding on olfactory discrimination in flies and mice.PLoS biology · 2023Article
- Flexible regulation of representations on a drifting manifold enables long-term stable complex neuroprosthetic control.bioRxiv : the preprint server for biology · 2023Article
- Distinct ventral stream and prefrontal cortex representational dynamics during sustained conscious visual perception.Cell reports · 2023Article
- Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb.Advances in neural information processing systems · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The brain displays a remarkable ability to sustain stable memories, allowing animals to execute precise behaviors or recall stimulus associations years after they were first learned. Yet, recent long-term recording experiments have revealed that single-neuron representations continuously change over time, contravening the classical assumption that learned features remain static. How do unstable neural codes support robust perception, memories, and actions? Here, we review recent experimental evidence for such representational drift across brain areas, as well as dissections of its functional characteristics and underlying mechanisms. We emphasize theoretical proposals for how drift need not only be a form of noise for which the brain must compensate. Rather, it can emerge from computationally beneficial mechanisms in hierarchical networks performing robust probabilistic computations.
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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.