Sebastián Castaño-Candamil

University of Freiburg — Germany

Neuroscience · Life Sciences

7h-index228citations22works0.02yr avg
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Research Topics

EEG and Brain-Computer Interfaces(14), Neural dynamics and brain function(9), Blind Source Separation Techniques(8), Neurological disorders and treatments(6), Neuroscience and Neural Engineering(5)

Publications22 total

A Pilot Study on Data-Driven Adaptive Deep Brain Stimulation in Chronically Implanted Essential Tremor Patients
Frontiers in Human Neuroscience·2020· 31 citedOpen Access
A simulated environment for studying partial observability in novel adaptive deep brain stimulation
FreiDok plus (Universitätsbibliothek Freiburg)·2020Open Access
Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson’s disease
NeuroImage Clinical·2020· 24 citedOpen Access
An Easy-to-Use and Fast Assessment of Patient-Specific DBS-Induced Changes in Hand Motor Control in Parkinson’s Disease
IEEE Transactions on Neural Systems and Rehabilitation Engineering·2019· 15 cited
Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods
Frontiers in Neuroinformatics·2019· 3 citedOpen Access
A simulated environment for early development stages of reinforcement learning algorithms for closed-loop deep brain stimulation
2019· 6 cited
Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems
Neuroinformatics·2018· 19 cited
Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems
SPIRE - Sciences Po Institutional REpository·2018
Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods
Zenodo (CERN European Organization for Nuclear Research)·2017Open Access
Post-Hoc Labeling Of Arbitrary Eeg Recordings For Data-Efficient Evaluation Of Neural Decoding Methods
arXiv (Cornell University)·2017· 2 citedOpen Access
Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods
arXiv (Cornell University)·2017· 2 citedOpen Access
Subspace Decomposition in the frequency Domain.
GBCIC·2017
EP 65. DBS-induced alpha desynchronization in the subthalamic nucleus of PD patients
Clinical Neurophysiology·2016· 2 cited
Pre-Trial EEG-Based Single-Trial Motor Performance Prediction to Enhance Neuroergonomics for a Hand Force Task
Frontiers in Human Neuroscience·2016· 28 citedOpen Access
Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets
2015· 5 cited
P186. Correlates to influence user performance in a hand motor rehabilitation task
Clinical Neurophysiology·2015· 1 cited
Solving the EEG inverse problem based on space–time–frequency structured sparsity constraints
NeuroImage·2015· 67 cited
EEG band power predicts single-trial reaction time in a hand motor task
2015· 13 cited
Identification of brain networks using time-varying spatial constraints of neural activity reconstruction
2014
Estimation of dynamic neural activity including informative priors into a Kalman filter based approach
2014· 2 cited
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Frequent Co-authors

Michael Tangermann(17), Andreas Meinel(10), G. Castellanos-Domínguez(5), Tobias Piroth(3), Peter C. Reinacher(3), Volker A. Coenen(3), J. D. Martínez-Vargas(3), Janine Reis(2), Bastian Sajonz(2), Benjamin Blankertz(2), Fabien Lotte(2), Sven Dähne(2), Mara Vaihinger(2), Eduardo Giraldo(2), Johannes Höhne(1), Juan-David Martínez-Vargas(1), Xingwei An(1), Stefan Haufe(1), Benjamin I Ferleger(1), Andrew Haddock(1)