Welcome to rrLab

• Electrophysiological data analysis (EEG, EOG, EMG); event-related potentials (ERP); sleep process modelling; study of cognitive fatigue; brain-computer interfaces; vigilance, drowsiness and fatigue monitoring
• Research in the area of applied statistics, machine learning, computational and cognitive neuroscience
• Tensor data analysis in neurophysiology; multivariate data analysis; latent variable regression, classification and dimensionality reduction methods; dynamic Bayesian networks for data fusion; nonlinear kernel learning and support vector machines

• European Doctoral Network for Neural Prostheses and Brain Research (DONUT) (2024-2027).
  
• Advanced Physiological Estimation of Cognitive States in Neurorehabilitation Tasks using Brain-Computer Interfaces and Head-Mounted Displays (BCI-HMD) for Environment Modification (2023-2025).
  
• Trustworthy human–robot and therapist–patient interaction in virtual reality (TInVR) (2022-2026).
  
• Towards an ecologically valid symbiosis of BCI and head-mounted VR displays: focus on collaborative post-stroke neurorehabilitation (ReHaB) (2022-2025).
  
• Smart deep brain stimulation as a treatment strategy in treatment-resistant depression (2022-2025).
  
• Causal analysis of measured signals and time series (2022-2025).
  

• Enhancing cognition and motor rehabilitation using mixed reality (ECoReMiR) (2017-2021).
  
• Brain-computer interface with robot-assisted training for rehabilitation (BCI-RAS) (2013-2017).
  
• Effects of sleep disturbances on day-time neurocognitive performance in patients with stroke (SleepCog) (2013-2016).