Gijs Plomp

发表

Nested oscillations and brain connectivity during sequential stages of feature-based attention

David Pascucci, Mattia F. Pagnotta, Gijs Plomp, 2020, NeuroImage.

Time-varying effective EEG source connectivity: the optimization of model parameters*

Christoph M. Michel, Patric Hagmann, David Pascucci, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Modeling time-varying brain networks with a self-tuning optimized Kalman filter

David Pascucci, Gijs Plomp, M. Rubega, 2019, bioRxiv.

Assessing the performance of Granger–Geweke causality: Benchmark dataset and simulation framework

Mukesh Dhamala, Mattia F. Pagnotta, Gijs Plomp, 2018, Data in brief.

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

Michaël Defferrard, Patric Hagmann, David Pascucci, 2020, NeuroImage.

Automatic diagnosis of temporal lobe epilepsy and its lateralization using EEG-based directed functional connectivity

Christoph M. Michel, Joni Dambre, Margitta Seeck, 2016 .

Spectrally weighted Granger-causal modeling: Motivation and applications to data from animal models and epileptic patients

Laura Astolfi, Christoph M. Michel, Gijs Plomp, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The physiological plausibility of time-varying Granger-causal modeling: Normalization and weighting by spectral power

Laura Astolfi, Gijs Plomp, Christoph M Michel, 2014, NeuroImage.

Layer 3 Dynamically Coordinates Columnar Activity According to Spatial Context

Laura Busse, Gijs Plomp, Ivan Larderet, 2018, The Journal of Neuroscience.

Electrical source dynamics in three functional localizer paradigms

Christoph M. Michel, Michael H. Herzog, Gijs Plomp, 2010, NeuroImage.

Using Random Forest for Diagnosis and Lateralization of Temporal Lobe Epilepsy from EEG-based Directed Functional Connectivity

Christoph M. Michel, Joni Dambre, Margitta Seeck, 2016 .

A regularized and smoothed General Linear Kalman Filter for more accurate estimation of time-varying directed connectivity*

David Pascucci, Mattia F. Pagnotta, Gijs Plomp, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Time-varying MVAR algorithms for directed connectivity analysis: Critical comparison in simulations and benchmark EEG data

Mattia F. Pagnotta, Gijs Plomp, Mattia F Pagnotta, 2018, PloS one.