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Reinmar J Kobler

Showing results (1-10 of 13) with videos related to

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Frontiers in Human Neuroscience|April 21, 2023
Editorial: Towards dependable brain computer/machine interfaces for movement controlGernot R Müller-Putz, Jennifer L Collinger, Reinmar J Kobler
Scientific Reports|December 12, 2018
Tuning characteristics of low-frequency EEG to positions and velocities in visuomotor and oculomotor tracking tasksReinmar J Kobler, Andreea I Sburlea, Gernot R Müller-Putz
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
HEAR to remove pops and drifts: the high-variance electrode artifact removal (HEAR) algorithmReinmar J Kobler, Andreea I Sburlea, Valeria Mondini, et al.
Neuroimage|June 26, 2020
Distinct cortical networks for hand movement initiation and directional processing: An EEG studyReinmar J Kobler, Elizaveta Kolesnichenko, Andreea I Sburlea, et al.
Journal of Neural Engineering|February 13, 2020
Using machine learning to reveal the population vector from EEG signalsReinmar J Kobler, Inês Almeida, Andreea I Sburlea, et al.
Journal of Neural Engineering|July 18, 2020
Continuous low-frequency EEG decoding of arm movement for closed-loop, natural control of a robotic armValeria Mondini, Reinmar J Kobler, Andreea I Sburlea, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Test-retest reliability of EEG microstate metrics for evaluating noise reductions in simultaneous EEG-fMRIToshikazu Kuroda, Reinmar J Kobler, Takeshi Ogawa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Non-linear online low-frequency EEG decoding of arm movements during a pursuit tracking taskVictor Martinez-Cagigal, Reinmar J Kobler, Valeria Mondini, et al.
Journal of Neural Engineering|November 4, 2020
Distance- and speed-informed kinematics decoding improves M/EEG based upper-limb movement decoder accuracyReinmar J Kobler, Andreea I Sburlea, Valeria Mondini, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
On the interpretation of linear Riemannian tangent space model parameters in M/EEGReinmar J Kobler, Jun-Ichiro Hirayama, Lea Hehenberger, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Frontiers in Human Neuroscience|April 21, 2023
Editorial: Towards dependable brain computer/machine interfaces for movement controlGernot R Müller-Putz, Jennifer L Collinger, Reinmar J Kobler
Scientific Reports|December 12, 2018
Tuning characteristics of low-frequency EEG to positions and velocities in visuomotor and oculomotor tracking tasksReinmar J Kobler, Andreea I Sburlea, Gernot R Müller-Putz
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
HEAR to remove pops and drifts: the high-variance electrode artifact removal (HEAR) algorithmReinmar J Kobler, Andreea I Sburlea, Valeria Mondini, et al.
Neuroimage|June 26, 2020
Distinct cortical networks for hand movement initiation and directional processing: An EEG studyReinmar J Kobler, Elizaveta Kolesnichenko, Andreea I Sburlea, et al.
Journal of Neural Engineering|February 13, 2020
Using machine learning to reveal the population vector from EEG signalsReinmar J Kobler, Inês Almeida, Andreea I Sburlea, et al.
Journal of Neural Engineering|July 18, 2020
Continuous low-frequency EEG decoding of arm movement for closed-loop, natural control of a robotic armValeria Mondini, Reinmar J Kobler, Andreea I Sburlea, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Test-retest reliability of EEG microstate metrics for evaluating noise reductions in simultaneous EEG-fMRIToshikazu Kuroda, Reinmar J Kobler, Takeshi Ogawa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Non-linear online low-frequency EEG decoding of arm movements during a pursuit tracking taskVictor Martinez-Cagigal, Reinmar J Kobler, Valeria Mondini, et al.
Journal of Neural Engineering|November 4, 2020
Distance- and speed-informed kinematics decoding improves M/EEG based upper-limb movement decoder accuracyReinmar J Kobler, Andreea I Sburlea, Valeria Mondini, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
On the interpretation of linear Riemannian tangent space model parameters in M/EEGReinmar J Kobler, Jun-Ichiro Hirayama, Lea Hehenberger, et al.
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