Vinay Jayaram
Vinay Jayaram
PhD Student, MPI for Intelligent Systems
Bestätigte E-Mail-Adresse bei tue.mpg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Transfer learning in brain-computer interfaces
V Jayaram, M Alamgir, Y Altun, B Schölkopf, M Grosse-Wentrup
IEEE Computational Intelligence Magazine 11 (1), 20-31, 2016
2122016
Speech-specific tuning of neurons in human superior temporal gyrus
AM Chan, AR Dykstra, V Jayaram, MK Leonard, KE Travis, B Gygi, ...
Cerebral Cortex 24 (10), 2679-2693, 2014
1102014
MOABB: trustworthy algorithm benchmarking for BCIs
V Jayaram, A Barachant
Journal of Neural Engineering 15 (6), 066011, 2018
272018
A cognitive brain–computer interface for patients with amyotrophic lateral sclerosis
MR Hohmann, T Fomina, V Jayaram, N Widmann, C Förster, J Just, ...
Progress in brain research 228, 221-239, 2016
122016
Case series: Slowing alpha rhythm in late-stage ALS patients
MR Hohmann, T Fomina, V Jayaram, T Emde, J Just, M Synofzik, ...
Clinical Neurophysiology 129 (2), 406-408, 2018
102018
Multi-task logistic regression in brain-computer interfaces
KH Fiebig, V Jayaram, J Peters, M Grosse-Wentrup
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
92016
Task-induced frequency modulation features for brain-computer interfacing
V Jayaram, M Hohmann, J Just, B Schölkopf, M Grosse-Wentrup
Journal of Neural Engineering 14 (5), 056015, 2017
72017
Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis
V Jayaram, N Widmann, C Förster, T Fomina, M Hohmann, ...
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
72015
An improved cognitive brain-computer interface for patients with amyotrophic lateral sclerosis
MR Hohmann, T Fomina, V Jayaram, C Förster, J Just, M Synofzik, ...
Proc. of the 6th Int. BCI Meeting, 2016
42016
A transfer learning approach for adaptive classification in P300 paradigms
V Jayaram, M Grosse-Wentrup
Proceedings of the Sixth International BCI Meeting, 2016
22016
Interpretable Riemannian classification in brain-computer interfacing
J Xu, M Grosse-Wentrup, V Jayaram
12019
Feature extraction from the Hermitian manifold for Brain-Computer Interfaces
J Xu, V Jayaram, B Schölkopf, M Grosse-Wentrup
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 965-968, 2019
12019
Transfer Learning for BCIs
V Jayaram, KH Fiebig, J Peters, M Grosse-Wentrup
Brain–Computer Interfaces Handbook: Technological and Theoretical Advances, 425, 2018
12018
Frequency peak features for low-channel classification in motor imagery paradigms
V Jayaram, B Schölkopf, M Grosse-Wentrup
2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), 321-324, 2017
12017
Tangent space spatial filters for interpretable and efficient Riemannian classification
J Xu, M Grosse-Wentrup, V Jayaram
Journal of Neural Engineering 17 (2), 026043, 2020
2020
A machine learning approach to taking EEG-based computer interfaces out of the lab
V Jayaram
Eberhard Karls Universität Tübingen Tübingen, 2018
2018
A machine learning approach to taking EEG-based brain-computer interfaces out of the lab.
V Jayaram
Universitätsbibliothek Tübingen, 2018
2018
Bayesian Regression for Artifact correction in Electroencephalography.
KH Fiebig, V Jayaram, T Hesse, A Blank, J Peters, M Grosse-Wentrup
GBCIC, 2017
2017
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