ReviewNature reviews. Neuroscience2022
The structures and functions of correlations in neural population codes.
Review in Nature reviews. Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers.
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Who cites it
126 citing papers in PubMed.
- Cross-region neuron co-firing mediated by ripple oscillations supports distributed working memory representations.Nature neuroscience · 2026Article
- Population coding under the scale invariance of high-dimensional noise.Science advances · 2026Article
- Sampling bias corrections for discrete and Gaussian partial information decompositions.Patterns (New York, N.Y.) · 2026Article
- Rapid robust high-fidelity 3D neuronal extraction from multiview calcium imaging datasets.Nature methods · 2026Article
- Loss of neuronal population organization links pathology to behavior in a model of Alzheimer's disease.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Artificial neural manifolds.Nature communications · 2026Article
- A versatile platform for two-photon neuronal population voltage imaging across cortical depths.Nature methods · 2026Article
- Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales.PLoS computational biology · 2026Article
- Charting higher-order models of brain function beyond pairwise interactions.Nature communications · 2026Article
- Bracket Coding: An Emergent Balance Between Temporal Integration and Segregation in Early Visual Population Activity.bioRxiv : the preprint server for biology · 2026Article
- A communication subspace relays context-dependent actions from human prefrontal to motor cortex.Nature neuroscience · 2026Article
- Noise-invariant representations of sound emerge along the canonical cortical hierarchy.PLoS biology · 2026Article
- The Importance of Synchrony in the Neural Control of Movement.bioRxiv : the preprint server for biology · 2026Article
- Artificial sparse neuron dendrites for visual information inference.Science advances · 2026Article
- Article
- Network-Level Characterization of Spontaneous Calcium Activity in an In-Vitro Alzheimer's Disease Model.bioRxiv : the preprint server for biology · 2026Article
- Decomposing the modulation of interactions between neuronal populations.bioRxiv : the preprint server for biology · 2026Article
- Pupil-linked arousal heterogeneously modulates cell-type-specific sensory processing.Science advances · 2026Article
- Population-level encoding of task information is stronger in the adolescent compared to adult frontal cortex.Developmental cognitive neuroscience · 2026Article
- Nonuniform spike count shared variability in the mouse early visual system.Journal of neurophysiology · 2026Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The collective activity of a population of neurons, beyond the properties of individual cells, is crucial for many brain functions. A fundamental question is how activity correlations between neurons affect how neural populations process information. Over the past 30 years, major progress has been made on how the levels and structures of correlations shape the encoding of information in population codes. Correlations influence population coding through the organization of pairwise-activity correlations with respect to the similarity of tuning of individual neurons, by their stimulus modulation and by the presence of higher-order correlations. Recent work has shown that correlations also profoundly shape other important functions performed by neural populations, including generating codes across multiple timescales and facilitating information transmission to, and readout by, downstream brain areas to guide behaviour. Here, we review this recent work and discuss how the structures of correlations can have opposite effects on the different functions of neural populations, thus creating trade-offs and constraints for the structure-function relationships of population codes. Further, we present ideas on how to combine large-scale simultaneous recordings of neural populations, computational models, analyses of behaviour, optogenetics and anatomy to unravel how the structures of correlations might be optimized to serve multiple functions.
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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.