My interests are in machine learning for closed-loop human-machine interfaces. To this end, I'm pursuing a number of paths:
--Increases in the amount and variety of BCI data being recorded in our lab and others places a new emphasis on transfer learning as a method for increasing BCI effectiveness across subjects. I am interested in applying new techniques from the machine-learning literature to BCI as well as studying what sort of techniques can be developed that take advantage of the unique nature of brain-based data for classification or regression.
--Despite decades of work on decoding prosthesis movements from EMG signals, a robust prosthesis for home use is still beyond our grasp. I am interested in whether machine learning can be used either to help the user learn more reliable control patterns, or whether it can be used to refine a prosthesis's performance during natural use.
ei
Hohmann, M. R., Fomina, T., Jayaram, V., Emde, T., Just, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
Case series: Slowing alpha rhythm in late-stage ALS patients
Clinical Neurophysiology, 129(2):406-408, 2018 (article)
ei
Jayaram, V., Barachant, A.
MOABB: Trustworthy algorithm benchmarking for BCIs
Journal of Neural Engineering, 15(6):066011, 2018 (article)
ei
Jayaram, V., Fiebig, K., Peters, J., Grosse-Wentrup, M.
Transfer Learning for BCIs
In Brain–Computer Interfaces Handbook, pages: 425-442, 22, (Editors: Chang S. Nam, Anton Nijholt and Fabien Lotte), CRC Press, 2018 (incollection)
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Jayaram, V.
A machine learning approach to taking EEG-based computer interfaces out of the lab
Graduate Training Centre of Neuroscience, IMPRS, Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)
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Fiebig, K., Jayaram, V., Hesse, T., Blank, A., Peters, J., Grosse-Wentrup, M.
Bayesian Regression for Artifact Correction in Electroencephalography
Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 131-136, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)
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Jayaram, V., Schölkopf, B., Grosse-Wentrup, M.
Frequency Peak Features for Low-Channel Classification in Motor Imagery Paradigms
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering (NER), pages: 321-324, May 2017 (conference)
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Jayaram, V., Hohmann, M., Just, J., Schölkopf, B., Grosse-Wentrup, M.
Task-induced frequency modulation features for brain-computer interfacing
Journal of Neural Engineering, 14(5):056015, 2017 (article)
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Fiebig, K., Jayaram, V., Peters, J., Grosse-Wentrup, M.
Multi-task logistic regression in brain-computer interfaces
6th Workshop on Brain-Machine Interface Systems at IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), pages: 002307-002312, IEEE, October 2016 (conference)
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Hohmann, M. R., Fomina, T., Jayaram, V., Förster, C., Just, J., M., S., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
An Improved Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis
Proceedings of the Sixth International BCI Meeting, pages: 44, (Editors: Müller-Putz, G. R. and Huggins, J. E. and Steyrl, D.), BCI, May 2016 (conference)
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Jayaram, V., Grosse-Wentrup, M.
A Transfer Learning Approach for Adaptive Classification in P300 Paradigms
Sixth International BCI Meeting (BCI), May 2016 (conference)
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Hohmann, M., Fomina, T., Jayaram, V., Widmann, N., Förster, C., Just, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
A cognitive brain–computer interface for patients with amyotrophic lateral sclerosis
In Brain-Computer Interfaces: Lab Experiments to Real-World Applications, 228(Supplement C):221-239, 8, Progress in Brain Research, (Editors: Damien Coyle), Elsevier, 2016 (incollection)
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Jayaram, V., Alamgir, M., Altun, Y., Schölkopf, B., Grosse-Wentrup, M.
Transfer Learning in Brain-Computer Interfaces
IEEE Computational Intelligence Magazine, 11(1):20-31, 2016 (article)
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Jayaram, V., Widmann, N., Förster, C., Fomina, T., Hohmann, M. R., Müller vom Hagen, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
Brain-Computer Interfacing in Amyotrophic Lateral Sclerosis: Implications of a Resting-State EEG Analysis
In Proceedings of the 37th IEEE Conference for Engineering in Medicine and Biology, pages: 6979-6982, EMBC, 2015 (inproceedings)
ei
Hohmann, M. R., Fomina, T., Jayaram, V., Widmann, N., Förster, C., Müller vom Hagen, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis
In Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, pages: 3187-3191, SMC, 2015 (inproceedings)
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