ArticleScientific reports2015
Simultaneous silence organizes structured higher-order interactions in neural populations.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Reducibility of higher-order networks from dynamics.Nature communications · 2026Article
- Explosive neural networks via higher-order interactions in curved statistical manifolds.Nature communications · 2025Article
- The quality and complexity of pairwise maximum entropy models for large cortical populations.PLoS computational biology · 2024Article
- Uncovering hidden network architecture from spiking activities using an exact statistical input-output relation of neurons.Communications biology · 2023Article
- Article
- Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions.PLoS computational biology · 2020Article
- Higher-Order Cumulants Drive Neuronal Activity Patterns, Inducing UP-DOWN States in Neural Populations.Entropy (Basel, Switzerland) · 2020Article
- Clustering of Neural Activity: A Design Principle for Population Codes.Frontiers in computational neuroscience · 2020Article
- A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data.Entropy (Basel, Switzerland) · 2018Article
- Computational Neuroscience: Mathematical and Statistical Perspectives.Annual review of statistics and its application · 2018Article
- Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models.PLoS computational biology · 2017Article
- Probabilistic models for neural populations that naturally capture global coupling and criticality.PLoS computational biology · 2017Article
- Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations.PLoS computational biology · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Activity patterns of neural population are constrained by underlying biological mechanisms. These patterns are characterized not only by individual activity rates and pairwise correlations but also by statistical dependencies among groups of neurons larger than two, known as higher-order interactions (HOIs). While HOIs are ubiquitous in neural activity, primary characteristics of HOIs remain unknown. Here, we report that simultaneous silence (SS) of neurons concisely summarizes neural HOIs. Spontaneously active neurons in cultured hippocampal slices express SS that is more frequent than predicted by their individual activity rates and pairwise correlations. The SS explains structured HOIs seen in the data, namely, alternating signs at successive interaction orders. Inhibitory neurons are necessary to maintain significant SS. The structured HOIs predicted by SS were observed in a simple neural population model characterized by spiking nonlinearity and correlated input. These results suggest that SS is a ubiquitous feature of HOIs that constrain neural activity patterns and can influence information processing.
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