Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals

By F. Wendling, J. Bellanger, Fabrice Bartolomei, P. Chauvel. Biological cybernetics, 2000

417 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Electrochemistry

View Paper: https://www.semanticscholar.org/paper/23c3b77277a43690ec0e872ac45727cd2e3ad08f

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Citations in the corpus

A neural mass model for MEG/EEG: : coupling and neuronal dynamics (2003, methodology): “For given synaptic responses h and sigmoid functions S, the Jansen model can produce a large variety of MEG/EEG-like waveforms (broad-band noise, epilepticlike activity) and alpha rhythms (Jansen and Rit, 1995; Wendling et al., 2000).”
Mechanisms of evoked and induced responses in MEG/EEG (2006, methodology): “This model and various extensions have been used to simulate oscillatory activity (David and Friston, 2003; David et al., 2004; Jansen and Rit, 1995), evoked responses (Jansen and Rit, 1995; David et al., in press) and epileptic activity (Wendling et al., 2000).”
Modelling event-related responses in the brain (2005, methodology): “This means that MEG/EEG observation models rely upon simplifying assumptions and empirical priors (David and Friston, 2003;Freeman, 1978;Valdes et al., 1999;Lopes da Silva et al., 1974;Robinson et al., 2001;Stam et al., 1999;Van Rotterdam et al., 1982;Wendling et al., 2000).”
Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition (2002, background): “In a previous study (Wendling et al., 2000), we showed that population models may explain several Correspondence: Dr F. Wendling, as above.”
Mathematical framework for large-scale brain network modeling in The Virtual Brain (2015, neutral): “, 2007; and epileptic wave to model temporal lobe epilepsy (Wendling et al., 2000; Wendling and Bartolomei, 2001; Wendling et al., 2001).”
Evaluation of different measures of functional connectivity using a neural mass model (2004, background): “Recently, it has been modified to generate epileptic activity (Wendling et al., 2000).”
The Dynamic Brain: From Spiking Neurons to Neural Masses and Cortical Fields (2008, background): “, [39–41]) and has been used recently as the basis of a generative model for event-related potentials that can be inverted using real data [42].”
An empirical survey of data augmentation for time series classification with neural networks (2020, background): “For example, many statistical models such as Gaussian trees [23] and handcrafted mathematical models [24] have been proposed.”