Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroinformatics|August 21, 2019
<i>Post-hoc</i> Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding MethodsSebastián Castaño-Candamil, Andreas Meinel, Michael Tangermann
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training setsSebastián Castaño-Candamil, Andreas Meinel, Sven Dähne, et al.
Frontiers in Human Neuroscience|May 21, 2016
Pre-Trial EEG-Based Single-Trial Motor Performance Prediction to Enhance Neuroergonomics for a Hand Force TaskAndreas Meinel, Sebastián Castaño-Candamil, Janine Reis, et al.
Neuroinformatics|August 22, 2018
Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems : Guidelines Derived from Simulation and Real-World DataAndreas Meinel, Sebastián Castaño-Candamil, Benjamin Blankertz, et al.
Neuroimage. Clinical|September 5, 2020
Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson's diseaseSebastián Castaño-Candamil, Tobias Piroth, Peter Reinacher, et al.
Neuroimage|June 7, 2015
Solving the EEG inverse problem based on space-time-frequency structured sparsity constraintsSebastián Castaño-Candamil, Johannes Höhne, Juan-David Martínez-Vargas, et al.
Frontiers in Human Neuroscience|November 30, 2020
A Pilot Study on Data-Driven Adaptive Deep Brain Stimulation in Chronically Implanted Essential Tremor PatientsSebastián Castaño-Candamil, Benjamin I Ferleger, Andrew Haddock, et al.
Pageof 1