Evolutionary Adaptation of Nonlinear Dynamical Systems in Computational Neuroscience. - Stefan Schneider 005; Christian Igel; Christian Klaes 001; Hubert R. Dinse; Jan C. Wiemer (Genet. Program. Evolvable Mach., 2004)

Sensorimotor Learning Biases Choice Behavior: A Learning Neural Field Model for Decision Making. - Christian Klaes 001; Sebastian Schneegans; Gregor Schöner; Alexander Gail (PLoS Comput. Biol., 2012)

Comparison of Anomaly Detection between Statistical Method and Undercomplete Autoencoder. - Muhammad Ayaz Hussain; Muhammad Saif-ur-Rehman; Christian Klaes 001; Ioannis Iossifidis (ICBDC, 2020)

Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation. - Omair Ali; Muhammad Saif-ur-Rehman; Susanne Dyck; Tobias Glasmachers; Ioannis Iossifidis; Christian Klaes 001 (CoRR, 2020)

Data-efficient Causal Decoding of Spiking Neural Activity using Weighted Voting. - Ali Marjaninejad; Christian Klaes 001; Francisco J. Valero Cuevas (EMBC, 2021)

ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces. - Omair Ali; Muhammad Saif-ur-Rehman; Tobias Glasmachers; Ioannis Iossifidis; Christian Klaes 001 (CoRR, 2022)

Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robots. - Artur Pilacinski; Lukas Christ; Marius Boshoff; Ioannis Iossifidis; Patrick Adler; Michael Miro; Bernd Kuhlenkötter; Christian Klaes 001 (Frontiers Neurorobotics, 2024)

ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data. - Omair Ali; Muhammad Saif-ur-Rehman; Tobias Glasmachers; Ioannis Iossifidis; Christian Klaes 001 (Comput. Biol. Medicine, 2024)

Adaptive SpikeDeep-classifier: Self-organizing and self-supervised machine learning algorithm for online spike sorting. - Muhammad Saif-ur-Rehman; Omair Ali; Christian Klaes 001; Ioannis Iossifidis (Neurocomputing, 2025)

Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces. - Aline Xavier Fidêncio; Felix Grün; Christian Klaes 001; Ioannis Iossifidis (CoRR, 2025)