Claudia Sannelli

Medtronic (United States) — United States

Neuroscience · Life Sciences

16h-index2.4kcitations30works5.52yr avg
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Research Topics

EEG and Brain-Computer Interfaces(23), Neural dynamics and brain function(12), Neuroscience and Neural Engineering(10), Neural and Behavioral Psychology Studies(5), Functional Brain Connectivity Studies(5)

Publications30 total

Subthalamic nucleus local field potential stability in patients with Parkinson's disease
Neurobiology of Disease·2024· 7 citedOpen Access
Real-world local field potential recordings in patients with deep brain stimulation for Parkinson's disease
Parkinsonism & Related Disorders·2024· 4 cited
Real-World Local Field Potential Recordings in Patients with Parkinson’s Disease: Peak Detection and Influence of Patient Related Factors (P4-11.011)
Neurology·2023
Immediate brain plasticity after one hour of brain–computer interface (BCI)
The Journal of Physiology·2019· 77 citedOpen Access
A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity
PLoS ONE·2019· 104 citedOpen Access
Brain-Computer Interface - Motor Imagery Data
DepositOnce·2019· 1 citedOpen Access
Ensembles of adaptive spatial filters increase BCI performance: an online evaluation
Journal of Neural Engineering·2016· 55 citedOpen Access
Extracting latent brain states — Towards true labels in cognitive neuroscience experiments
NeuroImage·2015· 13 cited
Machine Learning Methods of the Berlin Brain-Computer Interface
IFAC-PapersOnLine·2015· 6 citedOpen Access
LP24: Changes in the resting-state EEG induced by one single SMR-based brain-computer interface session
Clinical Neurophysiology·2014
When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning
2014· 6 cited
Learning and Evaluation in Presence of Non-i.i.d. Label Noise
Journal of Machine Learning Research·2014· 1 cited
Optimizing Spatial Filters to reduce BCI Inefficiency
DepositOnce·2013Open Access
Common Spatial Pattern Patches: Online evaluation on BCI-naive users
2012· 10 cited
Pre-Stimulus Sensorimotor Rhythms Influence Brain–Computer Interface Classification Performance
IEEE Transactions on Neural Systems and Rehabilitation Engineering·2012· 53 cited
Psychological predictors of SMR-BCI performance
Biological Psychology·2011· 262 cited
Co-adaptive calibration to improve BCI efficiency
Journal of Neural Engineering·2011· 161 citedOpen Access
CSP patches: an ensemble of optimized spatial filters. An evaluation study
Journal of Neural Engineering·2011· 45 cited
Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces
Neural Computation·2010· 203 citedOpen Access
Large-scale EEG/MEG source localization with spatial flexibility
NeuroImage·2010· 107 cited
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Frequent Co-authors

Benjamin Blankertz(19), Klaus‐Robert Müller(19), Carmen Vidaurre(14), Thorsten Dickhaus(7), Gabriel Curio(5), Stefan Haufe(5), Sebastian Halder(4), Mikio L. Braun(4), Andrea Kübler(3), Michael Tangermann(3), Anne K. Porbadnigk(3), Nico Görnitz(3), Alexander Binder(3), Marius Kloft(3), Genko Oyama(3), Thomas J. Witt(3), Alexa J. Singer(3), Eva Maria Hammer(2), Siamac Fazli(2), Cecilia L. Maeder(2)