ArticleCommunications biology2021
Lévy walk dynamics explain gamma burst patterns in primate cerebral cortex.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The hippocampus as a small-world cognitive map.bioRxiv : the preprint server for biology · 2026Article
- Distributed and dynamical communication: a mechanism for flexible cortico-cortical interactions and its functional roles in visual attention.Communications biology · 2024Article
- Are there jumps in evidence accumulation, and what, if anything, do they reflect psychologically? An analysis of Lévy Flights models of decision-making.Psychonomic bulletin & review · 2024Review
- Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing.Nature human behaviour · 2023Article
- Fractional neural sampling as a theory of spatiotemporal probabilistic computations in neural circuits.Nature communications · 2022Article
- A spatiotemporal mechanism of visual attention: Superdiffusive motion and theta oscillations of neural population activity patterns.Science advances · 2022Article
- Intrinsic bursts facilitate learning of Lévy flight movements in recurrent neural network models.Scientific reports · 2022Article
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Authors and funding
5 authors.
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Abstract
Lévy walks describe patterns of intermittent motion with variable step sizes. In complex biological systems, Lévy walks (non-Brownian, superdiffusive random walks) are associated with behaviors such as search patterns of animals foraging for food. Here we show that Lévy walks also describe patterns of oscillatory activity in primate cerebral cortex. We used a combination of empirical observation and modeling to investigate high-frequency (gamma band) local field potential activity in visual motion-processing cortical area MT of marmoset monkeys. We found that gamma activity is organized as localized burst patterns that propagate across the cortical surface with Lévy walk dynamics. Lévy walks are fundamentally different from either global synchronization, or regular propagating waves, because they include large steps that enable activity patterns to move rapidly over cortical modules. The presence of Lévy walk dynamics therefore represents a previously undiscovered mode of brain activity, and implies a novel way for the cortex to compute. We apply a biophysically realistic circuit model to explain that the Lévy walk dynamics arise from critical-state transitions between asynchronous and localized propagating wave states, and that these dynamics yield optimal spatial sampling of the cortical sheet. We hypothesise that Lévy walk dynamics could help the cortex to efficiently process variable inputs, and to find links in patterns of activity among sparsely spiking populations of neurons.
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