The criticality hypothesis: how local cortical networks might optimize information processing

By John M. Beggs. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2008

509 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/b06f7f73ec4840f5ff801b51d38a9f754c9efc27

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Citations in the corpus

Being Critical of Criticality in the Brain (2012, background): “It is interesting to mention that some of these reports have relied on spike data, and not just LFP data (e.g., Beggs, 2007, 2008; Mazzoni et al., 2007; Pasquale et al., 2008; Hahn et al., 2010; Friedman et al., 2011, 2012).”
Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms (2017, background): “Systems operating at criticality are the most responsive to perturbations (Bak and Paczuski, 1995, Beggs, 2008, Chialvo, 2010), so we can hypothesize that being in this regime at rest allows the brain to rapidly switch to a function-specific state in response to an internal or external trigger.”
Spike avalanches in vivo suggest a driven, slightly subcritical brain state (2014, background): “Thus, a slightly sub-critical regime allows the brain to avoid runaway activity, while still allowing moderate activity propagation, and maintaining most of the possible computational advantages that come with criticality (Haldeman and Beggs, 2005; Kinouchi and Copelli, 2006; Beggs, 2008; Shew et al”
Cognitive Effort Drives Workspace Configuration of Human Brain Functional Networks (2011, background): “…rapidity of network reconfiguration in response to changing environmental demands is compatible with theory and data suggesting that neuronal dynamics exist in a critical state, i.e., a physical state close to the point of a phase transition (Chialvo, 2004; Roa et al., 2007; Beggs, 2008).”
Broadband Criticality of Human Brain Network Synchronization (2009, background): “These studies indicate that networks at a critical point between order and chaos are optimized for information transmission, and generate a maximum number of metastable global states, conferring a high capacity for information storage [7,18].”
Self-organized criticality as a fundamental property of neural systems (2014, background): “Neural criticality has been reviewed in recent articles (Beggs, 2008; Kello et al., 2010; Beggs and Timme, 2012; Shew and Plenz, 2013; Markovi´c and Gros, 2014) and is the topic of a contributed volume (Plenz and Niebur, 2014).”
Consciousness as a phenomenon in the operational architectonics of brain organization: Criticality and self-organization considerations (2013, unknown): “capacity for information storage [195,196].”
Griffiths phases and the stretching of criticality in brain networks (2013, methodology): “The criticality hypothesis [8, 10, 14] states that biological systems can perform the complex computations that they require to survive only by operating at the ”edge of chaos” (or critical) i.”
Glutamatergic and GABAergic Receptor Modulation Present Unique Electrophysiological Fingerprints in a Concentration-Dependent and Region-Specific Manner (2023, background): “Several mechanisms for generating the aperiodic component have been proposed, such as the self-organized criticality theory (Beggs, 2008), the frequency dependence of current propagation in biological tissues (Bédard and Destexhe, 2009), or the mixture of damped neuronal oscillators having a…”