ArticleScience advances2022
A spatiotemporal mechanism of visual attention: Superdiffusive motion and theta oscillations of neural population activity patterns.
Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Temporal-Spatial Fusion Vision Hardware Enables Streamlined In-Sensor Computing for Dynamic Scenes.Nature communications · 2026Article
- Artificial intelligence as a surrogate brain: bridging neural dynamical models and data.National science review · 2026Review
- Visual awareness sharpens and accelerates attentional sampling through enhancing inhibitory neural modulation in the attention network.Nature communications · 2025Article
- Spatial Guidance Overrides Dynamic Saliency in VR: An Eye-Tracking Study on Gestalt Grouping Mechanisms and Visual Attention Patterns.Journal of eye movement research · 2025Article
- A Biomimetic Pose Estimation and Target Perception Strategy for Transmission Line Maintenance UAVs.Biomimetics (Basel, Switzerland) · 2024Article
- Distributed and dynamical communication: a mechanism for flexible cortico-cortical interactions and its functional roles in visual attention.Communications biology · 2024Article
- Advancing brain-inspired computing with hybrid neural networks.National science review · 2024Review
- Cortical cell assemblies and their underlying connectivity: An in silico study.PLoS computational biology · 2024Article
- Perceiving like a Bat: Hierarchical 3D Geometric-Semantic Scene Understanding Inspired by a Biomimetic Mechanism.Biomimetics (Basel, Switzerland) · 2023Article
- Article
- BIDL: a brain-inspired deep learning framework for spatiotemporal processing.Frontiers in neuroscience · 2023Article
- Fractional neural sampling as a theory of spatiotemporal probabilistic computations in neural circuits.Nature communications · 2022Article
- Enhancing spiking neural networks with hybrid top-down attention.Frontiers in neuroscience · 2022Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent evidence has demonstrated that during visual spatial attention sampling, neural activity and behavioral performance exhibit large fluctuations. To understand the origin of these fluctuations and their functional role, here, we introduce a mechanism based on the dynamical activity pattern (attention spotlight) emerging from neural circuit models in the transition regime between different dynamical states. This attention activity pattern with rich spatiotemporal dynamics flexibly samples from different stimulus locations, explaining many key aspects of temporal fluctuations such as variable theta oscillations of visual spatial attention. Moreover, the mechanism expands our understanding of how visual attention exploits spatially complex fluctuations characterized by superdiffusive motion in space and makes experimentally testable predictions. We further illustrate that attention sampling based on such spatiotemporal fluctuations provides profound functional advantages such as adaptive switching between exploitation and exploration activities and is particularly efficient at sampling natural scenes with multiple salient objects.
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Registered trials
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