ArticleNature communications2024
Brain-state mediated modulation of inter-laminar dependencies in visual cortex.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Causal Dynamics of Social Gaze in Primate Prefrontal-Amygdala Networks Revealed by Dynamic Bayesian Modeling.Nature communications · 2026Article
- State-Dependent Dissociation of Shared Input and Directed Information Flow in the Visual Cortex.bioRxiv : the preprint server for biology · 2026Article
- Uncovering Dynamic Neural Information Flow with Continuous-Time Weighted Dynamic Bayesian Networks.bioRxiv : the preprint server for biology · 2026Article
- Diverse and flexible strategies enable successful cooperation in marmoset dyads.Current biology : CB · 2025Article
- AI-Driven Multimodal Brain-State Decoding for Personalized Closed-Loop TENS: A Comprehensive Review.Brain sciences · 2025Review
- Dynamic spatio-temporal pruning for efficient spiking neural networks.Frontiers in neuroscience · 2025Article
- Neuromorphic algorithms for brain implants: a review.Frontiers in neuroscience · 2025Review
- EEG analysis of speaking and quiet states during different emotional music stimuli.Frontiers in neuroscience · 2025Article
- Brain-state mediated modulation of inter-laminar dependencies in visual cortex.Nature communications · 2024Article
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Abstract
Spatial attention is critical for recognizing behaviorally relevant objects in a cluttered environment. How the deployment of spatial attention aids the hierarchical computations of object recognition remains unclear. We investigated this in the laminar cortical network of visual area V4, an area strongly modulated by attention. We found that deployment of attention strengthened unique dependencies in neural activity across cortical layers. On the other hand, shared dependencies were reduced within the excitatory population of a layer. Surprisingly, attention strengthened unique dependencies within a laminar population. Crucially, these modulation patterns were also observed during successful behavioral outcomes that are thought to be mediated by internal brain state fluctuations. Successful behavioral outcomes were also associated with phases of reduced neural excitability, suggesting a mechanism for enhanced information transfer during optimal states. Our results suggest common computation goals of optimal sensory states that are attained by either task demands or internal fluctuations.
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