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Rikkert Hindriks

Showing results (1-10 of 24) with videos related to

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Brain Topography|March 13, 2024
Characterization of Second-Order Mixing Effects in Reconstructed Cross-Spectra of Random Neural FieldsRikkert Hindriks
Neuroimage. Reports|June 26, 2025
Relation between the phase-lag index and lagged coherence for assessing interactions in EEG and MEG dataRikkert Hindriks
Neuroimage|September 8, 2020
A methodological framework for inverse-modeling of propagating cortical activity using MEG/EEGRikkert Hindriks
Plos One|December 11, 2020
Lag-invariant detection of interactions in spatially-extended systems using linear inverse modelingRikkert Hindriks
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 12, 2011
Modeling the physiological mechanisms of multistability in spontaneous corticothalamic dynamicsJoost X Maier, Rikkert Hindriks
Communications Biology|March 19, 2023
Dissociation between phase and power correlation networks in the human brain is driven by co-occurrent burstsRikkert Hindriks, Prejaas K B Tewarie
Neuroimage|December 26, 2012
Thalamo-cortical mechanisms underlying changes in amplitude and frequency of human alpha oscillationsRikkert Hindriks, Michel J A M van Putten
Brain Connectivity|May 28, 2025
Revisiting the Multilayer Network Framework for Electrophysiological NetworksPrejaas K B Tewarie, Steven Laureys, Rikkert Hindriks
Neuroimage|March 8, 2012
Meanfield modeling of propofol-induced changes in spontaneous EEG rhythmsRikkert Hindriks, Michel J A M van Putten
Plos Computational Biology|June 1, 2022
Correction: Graph neural fields: A framework for spatiotemporal dynamical models on the human connectomeMarco Aqil, Selen Atasoy, Morten L Kringelbach, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Brain Topography|March 13, 2024
Characterization of Second-Order Mixing Effects in Reconstructed Cross-Spectra of Random Neural FieldsRikkert Hindriks
Neuroimage. Reports|June 26, 2025
Relation between the phase-lag index and lagged coherence for assessing interactions in EEG and MEG dataRikkert Hindriks
Neuroimage|September 8, 2020
A methodological framework for inverse-modeling of propagating cortical activity using MEG/EEGRikkert Hindriks
Plos One|December 11, 2020
Lag-invariant detection of interactions in spatially-extended systems using linear inverse modelingRikkert Hindriks
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|August 12, 2011
Modeling the physiological mechanisms of multistability in spontaneous corticothalamic dynamicsJoost X Maier, Rikkert Hindriks
Communications Biology|March 19, 2023
Dissociation between phase and power correlation networks in the human brain is driven by co-occurrent burstsRikkert Hindriks, Prejaas K B Tewarie
Neuroimage|December 26, 2012
Thalamo-cortical mechanisms underlying changes in amplitude and frequency of human alpha oscillationsRikkert Hindriks, Michel J A M van Putten
Brain Connectivity|May 28, 2025
Revisiting the Multilayer Network Framework for Electrophysiological NetworksPrejaas K B Tewarie, Steven Laureys, Rikkert Hindriks
Neuroimage|March 8, 2012
Meanfield modeling of propofol-induced changes in spontaneous EEG rhythmsRikkert Hindriks, Michel J A M van Putten
Plos Computational Biology|June 1, 2022
Correction: Graph neural fields: A framework for spatiotemporal dynamical models on the human connectomeMarco Aqil, Selen Atasoy, Morten L Kringelbach, et al.
Pageof 3