ArticlePloS one2014
Undersampled critical branching processes on small-world and random networks fail to reproduce the statistics of spike avalanches.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed.
- Critical scaling of novelty in the cortex.Nature communications · 2026Article
- The recovery of parabolic avalanches in spatially subsampled neuronal networks at criticality.Scientific reports · 2024Article
- The recovery of parabolic avalanches in spatially subsampled neuronal networks at criticality.bioRxiv : the preprint server for biology · 2024Article
- Hippocampal cognitive and relational map paradigms explored by multisensory encoding recording with wide-field calcium imaging.iScience · 2024Article
- Criticality and universality in neuronal cultures during "up" and "down" states.Frontiers in neural circuits · 2024Article
- Sampling effects and measurement overlap can bias the inference of neuronal avalanches.PLoS computational biology · 2022Article
- The Analysis of Mammalian Hearing Systems Supports the Hypothesis That Criticality Favors Neuronal Information Representation but Not Computation.Entropy (Basel, Switzerland) · 2022Article
- Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning.Frontiers in neuroscience · 2022Article
- Box scaling as a proxy of finite size correlations.Scientific reports · 2021Article
- Assessing criticality in pre-seizure single-neuron activity of human epileptic cortex.PLoS computational biology · 2021Article
- Long-term stability of avalanche scaling and integrative network organization in prefrontal and premotor cortex.Network neuroscience (Cambridge, Mass.) · 2021Article
- Differential effects of propofol and ketamine on critical brain dynamics.PLoS computational biology · 2020Article
- Subsampled Directed-Percolation Models Explain Scaling Relations Experimentally Observed in the Brain.Frontiers in neural circuits · 2020Article
- The scale-invariant, temporal profile of neuronal avalanches in relation to cortical γ-oscillations.Scientific reports · 2019Article
- Single-Cell Membrane Potential Fluctuations Evince Network Scale-Freeness and Quasicriticality.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Between Perfectly Critical and Fully Irregular: A Reverberating Model Captures and Predicts Cortical Spike Propagation.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- Modeling neuronal avalanches and long-range temporal correlations at the emergence of collective oscillations: Continuously varying exponents mimic M/EEG results.PLoS computational biology · 2019Article
- Neuronal Avalanches in Input and Associative Layers of Auditory Cortex.Frontiers in systems neuroscience · 2019Article
- Inferring collective dynamical states from widely unobserved systems.Nature communications · 2018Article
- Can a time varying external drive give rise to apparent criticality in neural systems?PLoS computational biology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The power-law size distributions obtained experimentally for neuronal avalanches are an important evidence of criticality in the brain. This evidence is supported by the fact that a critical branching process exhibits the same exponent [Formula: see text]. Models at criticality have been employed to mimic avalanche propagation and explain the statistics observed experimentally. However, a crucial aspect of neuronal recordings has been almost completely neglected in the models: undersampling. While in a typical multielectrode array hundreds of neurons are recorded, in the same area of neuronal tissue tens of thousands of neurons can be found. Here we investigate the consequences of undersampling in models with three different topologies (two-dimensional, small-world and random network) and three different dynamical regimes (subcritical, critical and supercritical). We found that undersampling modifies avalanche size distributions, extinguishing the power laws observed in critical systems. Distributions from subcritical systems are also modified, but the shape of the undersampled distributions is more similar to that of a fully sampled system. Undersampled supercritical systems can recover the general characteristics of the fully sampled version, provided that enough neurons are measured. Undersampling in two-dimensional and small-world networks leads to similar effects, while the random network is insensitive to sampling density due to the lack of a well-defined neighborhood. We conjecture that neuronal avalanches recorded from local field potentials avoid undersampling effects due to the nature of this signal, but the same does not hold for spike avalanches. We conclude that undersampled branching-process-like models in these topologies fail to reproduce the statistics of spike avalanches.
Indexed as
Identifiers
What OpenQuestion holds
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.