Publications

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Filters: Author is Schalk, Gerwin  [Clear All Filters]
2022
Xie T, Wu Z, Schalk G, Tong Y, Vato A, Raviv N, et al.. Automated intraoperative central sulcus localization and somatotopic mapping using median nerve stimulation. J Neural Eng. 2022;.
Lecaignard F, Bertrand R, Brunner P, Caclin A, Schalk G, Mattout J. Dynamics of Oddball Sound Processing: Trial-by-Trial Modeling of ECoG Signals. Front Hum Neurosci. 2022;15:794654.
2021
Moheimanian L, Paraskevopoulou SE, Adamek M, Schalk G, Brunner P. Modulation in cortical excitability disrupts information transfer in perceptual-level stimulus processing. Neuroimage. 2021;243:118498.
Paraskevopoulou SE, Coon WG, Brunner P, Miller KJ, Schalk G. Within-subject reaction time variability: Role of cortical networks and underlying neurophysiological mechanisms. Neuroimage. 2021;237:118127.
2019
Li G, Jiang S, Chen C, Brunner P, Wu Z, Schalk G, et al.. iEEGview: an open-source multifunction GUI-based Matlab toolbox for localization and visualization of human intracranial electrodes. J Neural Eng. 2019;17(1):016016.
2018
Brunner P, Schalk G. BCI Software. In Brain–Computer Interfaces Handbook: Technological and Theoretical Advances. 2018. p. 323.
Gunduz A, Schalk G. ECoG-Based BCIs. In Brain–Computer Interfaces Handbook: Technological and Theoretical Advances. 2018. p. 297.
Li G, Jiang S, Paraskevopoulou S, Wang M, Xu Y, Wu Z, et al.. Optimal referencing for stereo-electroencephalographic (SEEG) recordings. NeuroImage [Internet]. 2018;183:327-335. https://www.sciencedirect.com/science/article/pii/S1053811918307183PDF icon Optimal referencing for stereo-electroencephalographic (SEEG) recordings.pdf (18.78 MB)
Schalk G. Perspectives on Brain–Computer Interfaces. In Brain–Computer Interfaces Handbook. CRC Press; 2018. pp. 721–724.
2016
Gunduz A, Brunner P, Sharma M, Leuthardt EC, Ritaccio AL, Pesaran B, et al.. Differential roles of high gamma and local motor potentials for movement preparation and execution. Brain-Computer Interfaces. 2016;3(2):88-102. PDF icon Differential roles of high gamma and local motor potentials for movement preparation and execution.pdf (1.31 MB)
Zhao R, Schalk G, Ji Q. Robust Signal Identification for Dynamic Pattern Classification. 2016 23rd International Conference on Pattern Recognition [Internet]. 2016;:3910-3915. https://ieeexplore.ieee.org/document/7900245/PDF icon Robust Signal Identification for Dynamic Pattern Classification.pdf (657.68 KB)

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