ArticleFrontiers in systems neuroscience2014
Alternation of up and down states at a dynamical phase-transition of a neural network with spatiotemporal attractors.
Article in Frontiers in systems neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Criticality and universality in neuronal cultures during "up" and "down" states.Frontiers in neural circuits · 2024Article
- Beyond pulsed inhibition: Alpha oscillations modulate attenuation and amplification of neural activity in the awake resting state.Cell reports · 2023Article
- Criticality of neuronal avalanches in human sleep and their relationship with sleep macro- and micro-architecture.iScience · 2023Article
- Parabolic avalanche scaling in the synchronization of cortical cell assemblies.Nature communications · 2023Article
- The fractal brain: scale-invariance in structure and dynamics.Cerebral cortex (New York, N.Y. : 1991) · 2023Review
- Attractor and integrator networks in the brain.Nature reviews. Neuroscience · 2022Review
- Neuronal Avalanches Across the Rat Somatosensory Barrel Cortex and the Effect of Single Whisker Stimulation.Frontiers in systems neuroscience · 2021Article
- Higher-Order Cumulants Drive Neuronal Activity Patterns, Inducing UP-DOWN States in Neural Populations.Entropy (Basel, Switzerland) · 2020Article
- Critical Dynamics and Coupling in Bursts of Cortical Rhythms Indicate Non-Homeostatic Mechanism for Sleep-Stage Transitions and Dual Role of VLPO Neurons in Both Sleep and Wake.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Power-law correlations and coupling of active and quiet states underlie a class of complex systems with self-organization at criticality.EPJ web of conferences · 2020Article
- Stimulation triggers endogenous activity patterns in cultured cortical networks.Scientific reports · 2017Article
- Memory replay in balanced recurrent networks.PLoS computational biology · 2017Article
- Criticality as a signature of healthy neural systems.Frontiers in systems neuroscience · 2015Article
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2 authors.
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Abstract
Complex collective activity emerges spontaneously in cortical circuits in vivo and in vitro, such as alternation of up and down states, precise spatiotemporal patterns replay, and power law scaling of neural avalanches. We focus on such critical features observed in cortical slices. We study spontaneous dynamics emerging in noisy recurrent networks of spiking neurons with sparse structured connectivity. The emerging spontaneous dynamics is studied, in presence of noise, with fixed connections. Note that no short-term synaptic depression is used. Two different regimes of spontaneous activity emerge changing the connection strength or noise intensity: a low activity regime, characterized by a nearly exponential distribution of firing rates with a maximum at rate zero, and a high activity regime, characterized by a nearly Gaussian distribution peaked at a high rate for high activity, with long-lasting replay of stored patterns. Between this two regimes, a transition region is observed, where firing rates show a bimodal distribution, with alternation of up and down states. In this region, one observes neuronal avalanches exhibiting power laws in size and duration, and a waiting time distribution between successive avalanches which shows a non-monotonic behavior. During periods of high activity (up states) consecutive avalanches are correlated, since they are part of a short transient replay initiated by noise focusing, and waiting times show a power law distribution. One can think at this critical dynamics as a reservoire of dynamical patterns for memory functions.
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