ArticleeLife2022
Contribution of behavioural variability to representational drift.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Realignment of representational drift in mouse visual cortex via flexible electrode arrays.Nature biomedical engineering · 2026Article
- Changes in perceptual sampling contribute to representational drift.bioRxiv : the preprint server for biology · 2026Article
- Remembering the "when": Hebbian memory models for the time of past events.PLoS computational biology · 2026Article
- Experience and behavior modulate piriform cortex odor representation in freely moving mice.iScience · 2026Article
- Article
- Pupil-linked arousal heterogeneously modulates cell-type-specific sensory processing.Science advances · 2026Article
- Review
- Information theoretic measures of neural and behavioural coupling predict representational drift.PLoS computational biology · 2026Article
- Voltage imaging as a window into neural computation.Neurophotonics · 2026Article
- Article
- Three types of remapping with linear decoders: A population-geometric perspective.PLoS computational biology · 2025Article
- Article
- Three types of remapping with linear decoders: a population-geometric perspective.bioRxiv : the preprint server for biology · 2025Article
- Temporal coding carries more stable cortical visual representations than firing rate over time.Nature communications · 2025Article
- Representational drift without synaptic plasticity.bioRxiv : the preprint server for biology · 2025Article
- Behavioral state and stimulus strength regulate the role of somatostatin interneurons in stabilizing network activity.Cell reports · 2025Article
- Context flexibly modulates cue representations in visual cortex.Nature communications · 2025Article
- Sensory experience steers representational drift in mouse visual cortex.Nature communications · 2024Article
- Perpetual step-like restructuring of hippocampal circuit dynamics.Cell reports · 2024Article
- Centering cognitive neuroscience on task demands and generalization.Nature neuroscience · 2024Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Neuronal responses to similar stimuli change dynamically over time, raising the question of how internal representations can provide a stable substrate for neural coding. Recent work has suggested a large degree of drift in neural representations even in sensory cortices, which are believed to store stable representations of the external world. While the drift of these representations is mostly characterized in relation to external stimuli, the behavioural state of the animal (for instance, the level of arousal) is also known to strongly modulate the neural activity. We therefore asked how the variability of such modulatory mechanisms can contribute to representational changes. We analysed large-scale recording of neural activity from the Allen Brain Observatory, which was used before to document representational drift in the mouse visual cortex. We found that, within these datasets, behavioural variability significantly contributes to representational changes. This effect was broadcasted across various cortical areas in the mouse, including the primary visual cortex, higher order visual areas, and even regions not primarily linked to vision like hippocampus. Our computational modelling suggests that these results are consistent with independent modulation of neural activity by behaviour over slower timescales. Importantly, our analysis suggests that reliable but variable modulation of neural representations by behaviour can be misinterpreted as representational drift if neuronal representations are only characterized in the stimulus space and marginalized over behavioural parameters.
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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.