ArticlePLoS computational biology2018
A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed.
- A multi-frequency whole-brain neural mass model with homeostatic feedback inhibition.PLoS computational biology · 2026Article
- Frequency-Resolved Cortical Functional Connectivity Across the Adult Lifespan.Human brain mapping · 2026Article
- Frequency-resolved cortical functional connectivity across the adult lifespan.bioRxiv : the preprint server for biology · 2026Article
- Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain.Network neuroscience (Cambridge, Mass.) · 2026Article
- Individual trajectories for recovery of neocortical activity in disorders of consciousness.PLoS computational biology · 2025Article
- Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain.bioRxiv : the preprint server for biology · 2025Article
- Diversity-sensitive brain clocks linked to biophysical mechanisms in aging and dementia.Nature. Mental health · 2025Article
- Noradrenaline and acetylcholine shape functional connectivity organization of NREM substages: An empirical and simulation study.PLoS computational biology · 2025Article
- A multi-frequency whole-brain neural mass model with homeostatic feedback inhibition.bioRxiv : the preprint server for biology · 2025Article
- Inferring Neural Communication Dynamics from Field Potentials Using Graph Diffusion Autoregression.bioRxiv : the preprint server for biology · 2025Article
- Event-Marked Windowed Communication: Inferring Activity Propagation from Neural Time Series.Human brain mapping · 2025Article
- The balance between integration and segregation drives network dynamics maximizing multistability and metastability.Scientific reports · 2025Article
- Metastability demystified - the foundational past, the pragmatic present and the promising future.Nature reviews. Neuroscience · 2025Review
- Revealing excitation-inhibition imbalance in Alzheimer's disease using multiscale neural model inversion of resting-state functional MRI.Communications medicine · 2025Article
- Metastable dynamics emerge from local excitatory-inhibitory homeostasis in the cortex at rest.Network neuroscience (Cambridge, Mass.) · 2025Article
- Beyond oscillations-Toward a richer characterization of brain states.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Excitatory-inhibitory homeostasis and bifurcation control in the Wilson-Cowan model of cortical dynamics.PLoS computational biology · 2025Article
- Emergence of multiple spontaneous coherent subnetworks from a single configuration of human connectome coupled oscillators model.Scientific reports · 2024Article
- Homeodynamic feedback inhibition control in whole-brain simulations.PLoS computational biology · 2024Article
- Revisiting the role of computational neuroimaging in the era of integrative neuroscience.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
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Authors and funding
8 authors.
Funding
Abstract
Over long timescales, neuronal dynamics can be robust to quite large perturbations, such as changes in white matter connectivity and grey matter structure through processes including learning, aging, development and certain disease processes. One possible explanation is that robust dynamics are facilitated by homeostatic mechanisms that can dynamically rebalance brain networks. In this study, we simulate a cortical brain network using the Wilson-Cowan neural mass model with conduction delays and noise, and use inhibitory synaptic plasticity (ISP) to dynamically achieve a spatially local balance between excitation and inhibition. Using MEG data from 55 subjects we find that ISP enables us to simultaneously achieve high correlation with multiple measures of functional connectivity, including amplitude envelope correlation and phase locking. Further, we find that ISP successfully achieves local E/I balance, and can consistently predict the functional connectivity computed from real MEG data, for a much wider range of model parameters than is possible with a model without ISP.
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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 OpenQuestion graph.