ArticleNature communications2022
Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- The biological role of local and global fMRI BOLD signal variability in multiscale human brain organization.Nature communications · 2026Article
- Layered structure of cortex explains reversal dynamics in bistable perception.Scientific reports · 2025Article
- Article
- Brain-wide organization of intrinsic timescales at single-neuron resolution.bioRxiv : the preprint server for biology · 2025Article
- Stochastic activity in low-rank recurrent neural networks.PLoS computational biology · 2025Article
- Deciphering neuronal variability across states reveals dynamic sensory encoding.Nature communications · 2025Article
- Lattice physics approaches for neural networks.iScience · 2024Review
- Article
- Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks.Nature neuroscience · 2024Article
- Common and distinct neural mechanisms of attention.Trends in cognitive sciences · 2024Review
- Distributed and dynamical communication: a mechanism for flexible cortico-cortical interactions and its functional roles in visual attention.Communications biology · 2024Article
- Dissociable components of attention exhibit distinct neuronal signatures in primate visual cortex.Science advances · 2024Article
- Propagation of activity through the cortical hierarchy and perception are determined by neural variability.Nature neuroscience · 2023Article
- Article
- Intrinsic timescales in the visual cortex change with selective attention and reflect spatial connectivity.Nature communications · 2023Article
- Computational methods to study information processing in neural circuits.Computational and structural biotechnology journal · 2023Review
- Chaotic dynamics in spatially distributed neuronal networks generate population-wide shared variability.PLoS computational biology · 2023Article
- Review
- Internally generated population activity in cortical networks hinders information transmission.Science advances · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
Correlated activity fluctuations in the neocortex influence sensory responses and behavior. Neural correlations reflect anatomical connectivity but also change dynamically with cognitive states such as attention. Yet, the network mechanisms defining the population structure of correlations remain unknown. We measured correlations within columns in the visual cortex. We show that the magnitude of correlations, their attentional modulation, and dependence on lateral distance are explained by columnar On-Off dynamics, which are synchronous activity fluctuations reflecting cortical state. We developed a network model in which the On-Off dynamics propagate across nearby columns generating spatial correlations with the extent controlled by attentional inputs. This mechanism, unlike previous proposals, predicts spatially non-uniform changes in correlations during attention. We confirm this prediction in our columnar recordings by showing that in superficial layers the largest changes in correlations occur at intermediate lateral distances. Our results reveal how spatially structured patterns of correlated variability emerge through interactions of cortical state dynamics, anatomical connectivity, and attention.
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