ArticleBrain topography2022
Mean-Field Models for EEG/MEG: From Oscillations to Waves.
Article in Brain topography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Biophysically inspired mean-field model of neuronal populations driven by ion-exchange mechanisms.eLife · 2026Article
- Optimal control of spiral waves in heterogeneous excitable media: non-monotonic efficacy of localized optogenetic inhibition.Journal of the Royal Society, Interface · 2026Article
- Article
- B(RAIN)Scientific data · 2025Article
- Mean-field analysis of synaptic alterations underlying deficient cortical gamma oscillations in schizophrenia.Journal of computational neuroscience · 2025Article
- Whole brain functional connectivity: Insights from next generation neural mass modelling incorporating electrical synapses.PLoS computational biology · 2024Article
- Firing rate models for gamma oscillations in I-I and E-I networks.Journal of computational neuroscience · 2024Article
- Mean-field analysis of synaptic alterations underlying deficient cortical gamma oscillations in schizophrenia.Research square · 2024Article
- How synaptic function controls critical transitions in spiking neuron networks: insight from a Kuramoto model reduction.Frontiers in network physiology · 2024Article
- Periodic solutions in next generation neural field models.Biological cybernetics · 2023Article
- Comparison between an exact and a heuristic neural mass model with second-order synapses.Biological cybernetics · 2023Article
- Exact mean-field models for spiking neural networks with adaptation.Journal of computational neuroscience · 2022Article
- Collective states in a ring network of theta neurons.Proceedings. Mathematical, physical, and engineering sciences · 2022Article
- A Roadmap for Computational Modelling of M/EEG.Brain topography · 2022Article
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4 authors.
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Abstract
Neural mass models have been used since the 1970s to model the coarse-grained activity of large populations of neurons. They have proven especially fruitful for understanding brain rhythms. However, although motivated by neurobiological considerations they are phenomenological in nature, and cannot hope to recreate some of the rich repertoire of responses seen in real neuronal tissue. Here we consider a simple spiking neuron network model that has recently been shown to admit an exact mean-field description for both synaptic and gap-junction interactions. The mean-field model takes a similar form to a standard neural mass model, with an additional dynamical equation to describe the evolution of within-population synchrony. As well as reviewing the origins of this next generation mass model we discuss its extension to describe an idealised spatially extended planar cortex. To emphasise the usefulness of this model for EEG/MEG modelling we show how it can be used to uncover the role of local gap-junction coupling in shaping large scale synaptic waves.
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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.