ArticleFrontiers in systems neuroscience2018
Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements.
Article in Frontiers in systems neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Is criticality a unified setpoint of brain function?Neuron · 2025Pooled it
- Strong and localized recurrence controls the dimensionality of neural activity across brain areas.Nature neuroscience · 2026Article
- Neural timescales from a computational perspective.Nature neuroscience · 2026Review
- Beyond Neural Noise: Critical Dynamics Predict Slower Reaction Times in Adults With and Without ADHD.bioRxiv : the preprint server for biology · 2026Article
- Dynamical models reveal anatomically reliable attractor landscapes embedded in resting-state brain networks.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Signatures of hierarchical temporal processing in the mouse visual system.PLoS computational biology · 2024Article
- Dynamical models reveal anatomically reliable attractor landscapes embedded in resting state brain networks.bioRxiv : the preprint server for biology · 2024Article
- The fractal brain: scale-invariance in structure and dynamics.Cerebral cortex (New York, N.Y. : 1991) · 2023Review
- Article
- Neurodegenerative disease of the brain: a survey of interdisciplinary approaches.Journal of the Royal Society, Interface · 2023Review
- Sampling effects and measurement overlap can bias the inference of neuronal avalanches.PLoS computational biology · 2022Article
- Toward a Unified Analysis of the Brain Criticality Hypothesis: Reviewing Several Available Tools.Frontiers in neural circuits · 2022Review
- Too Blind to See the Elephant? Why Neuroscientists Ought to Be Interested in Tinnitus.Journal of the Association for Research in Otolaryngology : JARO · 2021Review
- Embedding optimization reveals long-lasting history dependence in neural spiking activity.PLoS computational biology · 2021Article
- Assessing criticality in pre-seizure single-neuron activity of human epileptic cortex.PLoS computational biology · 2021Article
- MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity.PloS one · 2021Article
- Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation.Frontiers in computational neuroscience · 2021Review
- Not One, but Many Critical States: A Dynamical Systems Perspective.Frontiers in neural circuits · 2021Article
- Tuning network dynamics from criticality to an asynchronous state.PLoS computational biology · 2020Article
- Time-dependent branching processes: a model of oscillating neuronal avalanches.Scientific reports · 2020Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Neural circuits are able to perform computations under very diverse conditions and requirements. The required computations impose clear constraints on their fine-tuning: a rapid and maximally informative response to stimuli in general requires decorrelated baseline neural activity. Such network dynamics is known as asynchronous-irregular. In contrast, spatio-temporal integration of information requires maintenance and transfer of stimulus information over extended time periods. This can be realized at criticality, a phase transition where correlations, sensitivity and integration time diverge. Being able to flexibly switch, or even combine the above properties in a task-dependent manner would present a clear functional advantage. We propose that cortex operates in a "reverberating regime" because it is particularly favorable for ready adaptation of computational properties to context and task. This reverberating regime enables cortical networks to interpolate between the asynchronous-irregular and the critical state by small changes in effective synaptic strength or excitation-inhibition ratio. These changes directly adapt computational properties, including sensitivity, amplification, integration time and correlation length within the local network. We review recent converging evidence that cortex
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