ArticleCerebral cortex (New York, N.Y. : 1991)2016
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
Article in Cerebral cortex (New York, N.Y. : 1991), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed, 101 citations in OpenAlex.
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- Dichotomy between extracellular signatures of active dendritic chemical synapses and gap junctions.eLife · 2026Article
- Visualization and simulation of full-scale point-neuron circuits via the Neural Circuit Visualizer web platform.Scientific reports · 2026Article
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- Bridging Model and Experiment in Systems Neuroscience with Cleo: The Closed-Loop, Electrophysiology, and Optophysiology Simulation Testbed.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Bridging model and experiment in systems neuroscience with Cleo: the Closed-Loop, Electrophysiology, and Optophysiology simulation testbed.bioRxiv : the preprint server for biology · 2025Article
- A Python toolbox for neural circuit parameter inference.NPJ systems biology and applications · 2025Article
- On the validity of electric brain signal predictions based on population firing rates.PLoS computational biology · 2025Article
- Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis.PLoS computational biology · 2024Article
- Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Multitask learning of a biophysically-detailed neuron model.PLoS computational biology · 2024Article
- A neurophysiological basis for aperiodic EEG and the background spectral trend.Nature communications · 2024Article
- Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis.bioRxiv : the preprint server for biology · 2024Article
- Multiscale co-simulation design pattern for neuroscience applications.Frontiers in neuroinformatics · 2024Article
- Neurobiological Causal Models of Language Processing.Neurobiology of language (Cambridge, Mass.) · 2024Article
- Metamodelling of a two-population spiking neural network.PLoS computational biology · 2023Article
- Neuronal connected burst cascades bridge macroscale adaptive signatures across arousal states.Nature communications · 2023Article
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Authors and funding
9 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With rapidly advancing multi-electrode recording technology, the local field potential (LFP) has again become a popular measure of neuronal activity in both research and clinical applications. Proper understanding of the LFP requires detailed mathematical modeling incorporating the anatomical and electrophysiological features of neurons near the recording electrode, as well as synaptic inputs from the entire network. Here we propose a hybrid modeling scheme combining efficient point-neuron network models with biophysical principles underlying LFP generation by real neurons. The LFP predictions rely on populations of network-equivalent multicompartment neuron models with layer-specific synaptic connectivity, can be used with an arbitrary number of point-neuron network populations, and allows for a full separation of simulated network dynamics and LFPs. We apply the scheme to a full-scale cortical network model for a ∼1 mm
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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.