ArticleScientific reports2015
Self-organized criticality in cortical assemblies occurs in concurrent scale-free and small-world networks.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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34 citing papers in PubMed.
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- Self-organized criticality as a framework for consciousness: A review study.Frontiers in psychology · 2022Article
- Tinnitus-like "hallucinations" elicited by sensory deprivation in an entropy maximization recurrent neural network.PLoS computational biology · 2021Article
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- Short- and Long-Range Connections Differentially Modulate the Dynamics and State of Small-World Networks.Frontiers in computational neuroscience · 2021Article
- Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation.Frontiers in computational neuroscience · 2021Review
- Impact of Physical Obstacles on the Structural and Effective Connectivity ofFrontiers in computational neuroscience · 2020Article
- Critical synchronization and 1/f noise in inhibitory/excitatory rich-club neural networks.Scientific reports · 2019Article
- Heterogeneity and Delayed Activation as Hallmarks of Self-Organization and Criticality in Excitable Tissue.Frontiers in physiology · 2019Article
- Connectomics of Morphogenetically Engineered Neurons as a Predictor of Functional Integration in the Ischemic Brain.Frontiers in neurology · 2019Review
- Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordings.PLoS computational biology · 2018Article
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Abstract
The spontaneous activity of cortical networks is characterized by the emergence of different dynamic states. Although several attempts were accomplished to understand the origin of these dynamics, the underlying factors continue to be elusive. In this work, we specifically investigated the interplay between network topology and spontaneous dynamics within the framework of self-organized criticality (SOC). The obtained results support the hypothesis that the emergence of critical states occurs in specific complex network topologies. By combining multi-electrode recordings of spontaneous activity of in vitro cortical assemblies with theoretical models, we demonstrate that different 'connectivity rules' drive the network towards different dynamic states. In particular, scale-free architectures with different degree of small-worldness account better for the variability observed in experimental data, giving rise to different dynamic states. Moreover, in relationship with the balance between excitation and inhibition and percentage of inhibitory hubs, the simulated cortical networks fall in a critical regime.
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