no code implementations • 30 Mar 2023 • Muhammad Saif-ur-Rehman, Omair Ali, Christian Klaes, Ioannis Iossifidis
The proposed algorithm is the first spike sorting algorithm that automatically learns the abrupt changes in the distribution of noise and SA.
no code implementations • 21 Jun 2022 • Omair Ali, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
Approach: In this work, we introduce a single hybrid model called ConTraNet, which is based on CNN and Transformer architectures that is equally useful for EEG-HMI and EMG-HMI paradigms.
no code implementations • 30 Nov 2020 • Omair Ali, Muhammad Saif-ur-Rehman, Susanne Dyck, Tobias Glasmachers, Ioannis Iossifidis, Christian Klaes
GNAA is not only an augmentation method but is also used to harness adversarial inputs in EEG data, which not only improves the classification accuracy but also enhances the robustness of the classifier.
no code implementations • 23 Dec 2019 • Muhammad Saif-ur-Rehman, Omair Ali, Robin Lienkaemper, Sussane Dyck, Marita Metzler, Yaroslav Parpaley, Joerg Wellmer, Charles Liu, Brian Lee, Spencer Kellis, Richard Andersen, Ioannis Iossifidis, Tobias Glasmachers, Christian Klaes
We proposed a novel spike sorting pipeline, based on a set of supervised and unsupervised learning algorithms.