ArticleProceedings of the National Academy of Sciences of the United States of America2023
Intrinsic neural diversity quenches the dynamic volatility of neural networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- Anti-NMDAR encephalitis impairs intrinsic hippocampal dynamics through neuronal hypercoupling, hub dominance, and aberrant ensembles.Molecular psychiatry · 2026Article
- Article
- Dynamic thermodynamic-informational entropic relationship (TIER) models of selective vulnerability to neurodegeneration.bioRxiv : the preprint server for biology · 2026Article
- Electrophysiological classification of human layer 2-3 pyramidal neurons reveals subtype-specific synaptic interactions.Nature neuroscience · 2026Article
- Neuronal heterogeneity of normalization strength in a circuit model.Science advances · 2026Article
- Neural heterogeneity enhances reliable neural information processing: Local sensitivity and globally input-slaved transient dynamics.Science advances · 2025Article
- Ramping dynamics in the frontal cortex unfold over multiple timescales during motor planning.Journal of neurophysiology · 2025Article
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- High-power transient 12-30 Hz beta event features as early biomarkers of Alzheimer's disease conversion: An MEG study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Selective consistency of recurrent neural networks induced by plasticity as a mechanism of unsupervised perceptual learning.PLoS computational biology · 2024Article
- Diverse and asymmetric patterns of single-neuron projectome in regulating interhemispheric connectivity.Nature communications · 2024Article
- Neural heterogeneity controls computations in spiking neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Controlling morpho-electrophysiological variability of neurons with detailed biophysical models.iScience · 2023Article
- Neuronal network complexity can strengthens activity robustness.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Distinctive biophysical features of human cell-types: insights from studies of neurosurgically resected brain tissue.Frontiers in synaptic neuroscience · 2023Review
- Oscillatory network spontaneously recovers both activity and robustness after prolonged removal of neuromodulators.Frontiers in cellular neuroscience · 2023Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heterogeneity is the norm in biology. The brain is no different: Neuronal cell types are myriad, reflected through their cellular morphology, type, excitability, connectivity motifs, and ion channel distributions. While this biophysical diversity enriches neural systems' dynamical repertoire, it remains challenging to reconcile with the robustness and persistence of brain function over time (resilience). To better understand the relationship between excitability heterogeneity (variability in excitability within a population of neurons) and resilience, we analyzed both analytically and numerically a nonlinear sparse neural network with balanced excitatory and inhibitory connections evolving over long time scales. Homogeneous networks demonstrated increases in excitability, and strong firing rate correlations-signs of instability-in response to a slowly varying modulatory fluctuation. Excitability heterogeneity tuned network stability in a context-dependent way by restraining responses to modulatory challenges and limiting firing rate correlations, while enriching dynamics during states of low modulatory drive. Excitability heterogeneity was found to implement a homeostatic control mechanism enhancing network resilience to changes in population size, connection probability, strength and variability of synaptic weights, by quenching the volatility (i.e., its susceptibility to critical transitions) of its dynamics. Together, these results highlight the fundamental role played by cell-to-cell heterogeneity in the robustness of brain function in the face of change.
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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 Socratic graph.