ArticleNational science review2022
Less is more: wiring-economical modular networks support self-sustained firing-economical neural avalanches for efficient processing.
Article in National science review, 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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7 citing papers in PubMed.
- Modeling macroscopic brain dynamics with brain-inspired computing architecture.Nature communications · 2025Article
- Damage Resistance of an fMRI-Spiking Neural Network Based on Speech Recognition Against Stochastic Attack.Biomimetics (Basel, Switzerland) · 2025Article
- Dysfunctions of multiscale dynamic brain functional networks in subjective cognitive decline.Brain communications · 2024Article
- Article
- An efficiently working brain characterizes higher mental flow that elicits pleasure in Chinese calligraphic handwriting.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Structural Modularity Tunes Mesoscale Criticality in Biological Neuronal Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ischemic vascular disease.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
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Abstract
The brain network is notably cost-efficient, while the fundamental physical and dynamic mechanisms underlying its economical optimization in network structure and activity have not been determined. In this study, we investigate the intricate cost-efficient interplay between structure and dynamics in biologically plausible spatial modular neuronal network models. We observe that critical avalanche states from excitation-inhibition balance under modular network topology with less wiring cost can also achieve lower costs in firing but with strongly enhanced response sensitivity to stimuli. We derive mean-field equations that govern the macroscopic network dynamics through a novel approximate theory. The mechanism of low firing cost and stronger response in the form of critical avalanches is explained as a proximity to a Hopf bifurcation of the modules when increasing their connection density. Our work reveals the generic mechanism underlying the cost-efficient modular organization and critical dynamics widely observed in neural systems, providing insights into brain-inspired efficient computational designs.
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