Identification of brain networks using time-varying spatial constraints of neural activity reconstruction. - Juan David Martínez-Vargas; J. Sebastián Castaño-Candamil; Germán Castellanos-Domínguez (EMBC, 2014)

Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets. - Sebastián Castaño-Candamil; Andreas Meinel; Sven Dähne; Michael Tangermann (EMBC, 2015)

EEG band power predicts single-trial reaction time in a hand motor task. - Andreas Meinel; Juan Sebastián Castaño-Candamil; Sven Dähne; Janine Reis; Michael Tangermann (NER, 2015)

Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints. - Sebastián Castaño-Candamil; Johannes Höhne; Juan David Martínez-Vargas; Xing-Wei An; Germán Castellanos-Domínguez; Stefan Haufe (NeuroImage, 2015)

Closed-Loop Deep brain stimulation System for an animal Model of Parkinson's disease: a Pilot Study. - Sebastián Castaño-Candamil; Soheil Mottaghi; Volker A. Coenen; Ulrich G. Hofmann; Michael Tangermann (GBCIC, 2017)

Subspace Decomposition in the frequency Domain. - Sebastián Castaño-Candamil; Michael Tangermann (GBCIC, 2017)

Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods. - Sebastián Castaño-Candamil; Andreas Meinel; Michael Tangermann (CoRR, 2017)

A simulated environment for early development stages of reinforcement learning algorithms for closed-loop deep brain stimulation. - Sebastián Castaño-Candamil; Mara Vaihinger; Michael Tangermann (EMBC, 2019)

A Simulated Environment for Studying Partial observability in Novel adaptive Deep brain stimulation. - Sebastián Castaño-Candamil; Mara Vaihinger; Michael Tangermann (GBCIC, 2019)

Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods. - Sebastián Castaño-Candamil; Andreas Meinel; Michael Tangermann (Frontiers Neuroinformatics, 2019)

Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems - Guidelines Derived from Simulation and Real-World Data. - Andreas Meinel; Sebastián Castaño-Candamil; Benjamin Blankertz; Fabien Lotte; Michael Tangermann (Neuroinformatics, 2019)