( en | de | ru )

 

Disambiguation of "Cook, Mark J."

Author of the publication

copydeleteadd this publication to your clipboard
A neural mass model of spontaneous burst suppression and epileptic seizures.

, , , , and . EMBC, page 5942-5945. IEEE, (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mark Elsom-Cook

Mark J Boda

Stephen Cook

Ralph Cook

Andrew Cook

 

Other publications of authors with the same name

Probing for cortical excitability., , , , , , , , , and 1 other author(s). EMBC, page 1644-1647. IEEE, (2011)Implementation of a closed-loop BCI system for real-time speech synthesis under clinical constraints., , , , , , and . BCI, page 1-6. IEEE, (2022)Model Parameter Estimation As Features to Predict the Duration of Epileptic Seizures From Onset., , , , , , , and . EMBC, page 1-4. IEEE, (2023)Evidence of Onset and Sustained Neural Responses to Isolated Phonemes from Intracranial Recordings in a Voice-based Cursor Control Task., , , , , , and . INTERSPEECH, page 4063-4067. ISCA, (2022)Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG., , , , , , , , , and 1 other author(s). BIBM, page 1157-1163. IEEE, (2022)A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG., , , , , , , , , and 2 other author(s). NER, page 1-4. IEEE, (2023)Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators., , , , , , , and . Int. J. Neural Syst., 27 (1): 1650038:1-1650038:13 (2017)Model-based estimation of intra-cortical connectivity using electrophysiological data., , , , and . NeuroImage, (2015)A Convolutional Neural Network Model for Decoding EEG signals in a Hand-Squeeze Task1., , , , , , , and . BCI, page 1-6. IEEE, (2020)A method for actively tracking excitability of brain networks using a fully implantable monitoring system., , , , , and . EMBC, page 6151-6154. IEEE, (2013)