Tangent space spatial filters for interpretable and efficient Riemannian classification

Autor: Vinay Jayaram, Jiachen Xu, Moritz Grosse-Wentrup

Publikováno v: Journal of Neural Engineering

Objective. Methods based on Riemannian geometry have proven themselves to be good models for decoding in brain-computer interfacing (BCI). However, these methods suffer from the curse of dimensionality and are not possible to deploy in high-density o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c267d68b1d6c759b6a8120b8e2d7589
https://pubmed.ncbi.nlm.nih.gov/32224508

Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail

Autor: Yasemin Altun, Morteza Alamgir, Vinay Jayaram, Moritz Grosse-Wentrup, Bernhard Schölkopf

Publikováno v: IEEE Computational Intelligence Magazine. 11:20-31

It is often a problem in various fields that one runs into a series of tasks that appear - to a human - to be highly related to each other, yet applying the optimal machine learning solution of one problem to another results in poor performance. Spec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cc3f09c33ad2ac9d9d35ed6ea4af6e22
https://doi.org/10.1109/mci.2015.2501545

Task-induced frequency modulation features for brain-computer interfacing

Autor: Jennifer Just, Moritz Grosse-Wentrup, Matthias R. Hohmann, Vinay Jayaram, Bernhard Schölkopf

Publikováno v: Journal of Neural Engineering

OBJECTIVE Task-induced amplitude modulation of neural oscillations is routinely used in brain-computer interfaces (BCIs) for decoding subjects' intents, and underlies some of the most robust and common methods in the field, such as common spatial pat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9343c6cb64c9e8c8abc5d3f4b9bbcd5c
https://pubmed.ncbi.nlm.nih.gov/28925374

Multi-task logistic regression in brain-computer interfaces

Autor: Jan Peters, Vinay Jayaram, Karl-Heinz Fiebig, Moritz Grosse-Wentrup

Publikováno v: SMC

A brain-computer interface (BCI) is used to enable communication between humans and machines by decoding elicited brain activity patterns. However, these patterns have been found to vary across subjects or even for the same subject across sessions. S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb1e97cad117f18a7f953b91616d456f
https://doi.org/10.1109/smc.2016.7844582

A cognitive brain–computer interface for patients with amyotrophic lateral sclerosis

Autor: Bernhard Schölkopf, Vinay Jayaram, Moritz Grosse-Wentrup, Tatiana Fomina, Matthias R. Hohmann, Christian Förster, Ludger Schöls, Jennifer Müller vom Hagen, Natalie Widmann, Matthis Synofzik

Publikováno v: Amsterdam [u.a.] : Elsevier, Progress in Brain Research 228, 221-239 (2016). doi:10.1016/bs.pbr.2016.04.022
Brain-Computer Interfaces: Lab Experiments to Real-World Applications / Hohmann, M.R. ; : Elsevier, 2016, ; ISSN: 00796123 ; ISBN: 9780128042168 ; doi:10.1016/bs.pbr.2016.04.022
SMC

Brain-computer interfaces (BCIs) are often based on the control of sensor motor processes, yet sensor motor processes are impaired in patients suffering from amyotrophic lateral sclerosis (ALS). We devised a new paradigm that targets higher level cog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a920bea00768c2e919c6823d54e6c78
https://pub.dzne.de/record/144534