ArticleScientific reports2022
Power spectrum and critical exponents in the 2D stochastic Wilson-Cowan model.
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 7 papers.
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Who cites it
7 citing papers in PubMed.
- Proteomic aging clocks in epidemiological studies: advances, applications and prospects.Nature aging · 2026Review
- Symmetry breaking and avalanche shapes in modular neural networks.Frontiers in computational neuroscience · 2026Article
- Inferring global exponents in subsampled neural systems.iScience · 2025Article
- Delay suppression control of β-oscillations: a proposal for dual-target adaptive deep brain stimulation on STN-GPe network model.Biological cybernetics · 2025Article
- Beyond-local neural information processing in neuronal networks.Computational and structural biotechnology journal · 2024Article
- Excitation/Inhibition balance relates to cognitive function and gene expression in temporal lobe epilepsy: a high density EEG assessment with aperiodic exponent.Brain communications · 2024Article
- Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture.iScience · 2023Article
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5 authors.
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Abstract
The power spectrum of brain activity is composed by peaks at characteristic frequencies superimposed to a background that decays as a power law of the frequency, [Formula: see text], with an exponent [Formula: see text] close to 1 (pink noise). This exponent is predicted to be connected with the exponent [Formula: see text] related to the scaling of the average size with the duration of avalanches of activity. "Mean field" models of neural dynamics predict exponents [Formula: see text] and [Formula: see text] equal or near 2 at criticality (brown noise), including the simple branching model and the fully-connected stochastic Wilson-Cowan model. We here show that a 2D version of the stochastic Wilson-Cowan model, where neuron connections decay exponentially with the distance, is characterized by exponents [Formula: see text] and [Formula: see text] markedly different from those of mean field, respectively around 1 and 1.3. The exponents [Formula: see text] and [Formula: see text] of avalanche size and duration distributions, equal to 1.5 and 2 in mean field, decrease respectively to [Formula: see text] and [Formula: see text]. This seems to suggest the possibility of a different universality class for the model in finite dimension.
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