ArticleScientific reports2022
Disentangling the critical signatures of neural activity.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Whisker stimulation reinforces a resting-state network in the barrel cortex: Nested oscillations and avalanches.PLoS computational biology · 2026Article
- Symmetry breaking and avalanche shapes in modular neural networks.Frontiers in computational neuroscience · 2026Article
- Structured Dynamics in the Algorithmic Agent.Entropy (Basel, Switzerland) · 2025Article
- Fast nonlinear integration drives accurate encoding of input information in large multiscale systems.Communications physics · 2025Article
- Spatial and temporal correlations in human cortex are inherently linked and predicted by functional hierarchy, vigilance state as well as antiepileptic drug load.PLoS computational biology · 2023Article
- Addressing skepticism of the critical brain hypothesis.Frontiers in computational neuroscience · 2022Review
- Box scaling as a proxy of finite size correlations.Scientific reports · 2021Article
- Neuronal Avalanches Across the Rat Somatosensory Barrel Cortex and the Effect of Single Whisker Stimulation.Frontiers in systems neuroscience · 2021Article
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6 authors.
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Abstract
The critical brain hypothesis has emerged as an attractive framework to understand neuronal activity, but it is still widely debated. In this work, we analyze data from a multi-electrodes array in the rat's cortex and we find that power-law neuronal avalanches satisfying the crackling-noise relation coexist with spatial correlations that display typical features of critical systems. In order to shed a light on the underlying mechanisms at the origin of these signatures of criticality, we introduce a paradigmatic framework with a common stochastic modulation and pairwise linear interactions inferred from our data. We show that in such models power-law avalanches that satisfy the crackling-noise relation emerge as a consequence of the extrinsic modulation, whereas scale-free correlations are solely determined by internal interactions. Moreover, this disentangling is fully captured by the mutual information in the system. Finally, we show that analogous power-law avalanches are found in more realistic models of neural activity as well, suggesting that extrinsic modulation might be a broad mechanism for their generation.
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