ArticlePLoS computational biology2020
Biophysically grounded mean-field models of neural populations under electrical stimulation.
Article in PLoS computational biology, 2020. 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 24 papers.
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Who cites it
24 citing papers in PubMed, 64 citations in OpenAlex.
- Intensity-dependent tACS entrainment effects in a cortical microcircuit: a computational study.Scientific reports · 2026Article
- Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theorem.PLoS computational biology · 2025Article
- The Virtual Brain Ontology: A Digital Knowledge Framework for Reproducible Brain Network Modeling.bioRxiv : the preprint server for biology · 2025Article
- Comparison of derivative-based and correlation-based methods to estimate effective connectivity in neural networks.Scientific reports · 2025Article
- Signal propagation in small networks of Hodgkin-Huxley neurons.Frontiers in network physiology · 2025Article
- A computational account of joint SSRI and anti-inflammatory treatment.Frontiers in immunology · 2025Article
- On the robustness of the emergent spatiotemporal dynamics in biophysically realistic and phenomenological whole-brain models at multiple network resolutions.Frontiers in network physiology · 2025Article
- A framework for optimal control of oscillations and synchrony applied to non-linear models of neural population dynamics.Frontiers in computational neuroscience · 2024Article
- Exploring global and local processes underlying alterations in resting-state functional connectivity and dynamics in schizophrenia.Frontiers in psychiatry · 2024Article
- A multi-layer mean-field model of the cerebellum embedding microstructure and population-specific dynamics.PLoS computational biology · 2023Article
- Intensity- and frequency-specific effects of transcranial alternating current stimulation are explained by network dynamics.bioRxiv : the preprint server for biology · 2023Article
- Neurocognitive, physiological, and biophysical effects of transcranial alternating current stimulation.Trends in cognitive sciences · 2023Review
- The effect of alterations of schizophrenia-associated genes on gamma band oscillations.Schizophrenia (Heidelberg, Germany) · 2022Article
- Effects of transcranial alternating current stimulation on spiking activity in computational models of single neocortical neurons.NeuroImage · 2022Article
- Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model.Frontiers in computational neuroscience · 2022Article
- Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation.Frontiers in computational neuroscience · 2022Review
- Nonlinear optimal control of a mean-field model of neural population dynamics.Frontiers in computational neuroscience · 2022Article
- Conducting double-blind placebo-controlled clinical trials of transcranial alternating current stimulation (tACS).Translational psychiatry · 2021Review
- Correction: Biophysically grounded mean-field models of neural populations under electrical stimulation.PLoS computational biology · 2021Article
- Software-Defined Workflows for Distributed Interoperable Closed-Loop Neuromodulation Control Systems.IEEE access : practical innovations, open solutions · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrical stimulation of neural systems is a key tool for understanding neural dynamics and ultimately for developing clinical treatments. Many applications of electrical stimulation affect large populations of neurons. However, computational models of large networks of spiking neurons are inherently hard to simulate and analyze. We evaluate a reduced mean-field model of excitatory and inhibitory adaptive exponential integrate-and-fire (AdEx) neurons which can be used to efficiently study the effects of electrical stimulation on large neural populations. The rich dynamical properties of this basic cortical model are described in detail and validated using large network simulations. Bifurcation diagrams reflecting the network's state reveal asynchronous up- and down-states, bistable regimes, and oscillatory regions corresponding to fast excitation-inhibition and slow excitation-adaptation feedback loops. The biophysical parameters of the AdEx neuron can be coupled to an electric field with realistic field strengths which then can be propagated up to the population description. We show how on the edge of bifurcation, direct electrical inputs cause network state transitions, such as turning on and off oscillations of the population rate. Oscillatory input can frequency-entrain and phase-lock endogenous oscillations. Relatively weak electric field strengths on the order of 1 V/m are able to produce these effects, indicating that field effects are strongly amplified in the network. The effects of time-varying external stimulation are well-predicted by the mean-field model, further underpinning the utility of low-dimensional neural mass models.
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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.