ArticlePLoS computational biology2015
Synaptic plasticity enables adaptive self-tuning critical networks.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Effects of spatial constraints of inhibitory connectivity on the dynamical development of criticality in spiking networks.PLoS computational biology · 2026Article
- Emergence of Deviance Detection in Cortical Cultures Through Maturation, Criticality, and Early Experience.The European journal of neuroscience · 2026Article
- The Administration of Ketamine Is Associated with Dose-Dependent Stabilization of Cortical Dynamics in Humans.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Emergent functions of noise-driven spontaneous activity: homeostatic maintenance of criticality and memory consolidation.Frontiers in neural circuits · 2025Article
- Network structure influences self-organized criticality in neural networks with dynamical synapses.Frontiers in systems neuroscience · 2025Article
- Homeodynamic feedback inhibition control in whole-brain simulations.PLoS computational biology · 2024Article
- Article
- Emergence of brain-inspired small-world spiking neural network through neuroevolution.iScience · 2024Article
- Sleep restores an optimal computational regime in cortical networks.Nature neuroscience · 2024Article
- Tauopathy severely disrupts homeostatic set-points in emergent neural dynamics but not in the activity of individual neurons.bioRxiv : the preprint server for biology · 2023Article
- Structural plasticity driven by task performance leads to criticality signatures in neuromorphic oscillator networks.Scientific reports · 2022Article
- Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics.Neural computation · 2022Article
- Theoretical foundations of studying criticality in the brain.Network neuroscience (Cambridge, Mass.) · 2022Review
- Criticality enhances the multilevel reliability of stimulus responses in cortical neural networks.PLoS computational biology · 2022Article
- Optimal Organization of Functional Connectivity Networks for Segregation and Integration With Large-Scale Critical Dynamics in Human Brains.Frontiers in computational neuroscience · 2021Article
- Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits.Neural plasticity · 2021Article
- Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation.Frontiers in computational neuroscience · 2021Review
- Integrative Models of Brain Structure and Dynamics: Concepts, Challenges, and Methods.Frontiers in neuroscience · 2021Review
- Control of criticality and computation in spiking neuromorphic networks with plasticity.Nature communications · 2020Article
- Selective Participation of Single Cortical Neurons in Neuronal Avalanches.Frontiers in neural circuits · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
During rest, the mammalian cortex displays spontaneous neural activity. Spiking of single neurons during rest has been described as irregular and asynchronous. In contrast, recent in vivo and in vitro population measures of spontaneous activity, using the LFP, EEG, MEG or fMRI suggest that the default state of the cortex is critical, manifested by spontaneous, scale-invariant, cascades of activity known as neuronal avalanches. Criticality keeps a network poised for optimal information processing, but this view seems to be difficult to reconcile with apparently irregular single neuron spiking. Here, we simulate a 10,000 neuron, deterministic, plastic network of spiking neurons. We show that a combination of short- and long-term synaptic plasticity enables these networks to exhibit criticality in the face of intrinsic, i.e. self-sustained, asynchronous spiking. Brief external perturbations lead to adaptive, long-term modification of intrinsic network connectivity through long-term excitatory plasticity, whereas long-term inhibitory plasticity enables rapid self-tuning of the network back to a critical state. The critical state is characterized by a branching parameter oscillating around unity, a critical exponent close to -3/2 and a long tail distribution of a self-similarity parameter between 0.5 and 1.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.