Catarina Lopes-Dias
Papers
3
Total Citations
106
H-Index
3
About
Catarina Lopes-Dias is a leading researcher in non-invasive brain-computer interfaces (BCIs), with a focus on restoring motor function for individuals with paralysis, particularly those with spinal cord injury. Her work centers on decoding neural signals related to movement intention and error processing to enable intuitive, continuous control of robotic arms and neuroprostheses. A key contribution is her pioneering research on online asynchronous decoding of error-related potentials (ErrPs) during continuous robot control, a 2019 paper that has garnered 76 citations and established a framework for improving BCI performance through real-time error detection. She also played a central role in the ERC-funded “Feel Your Reach” project, which developed a comprehensive EEG-based framework for continuously detecting goal-directed movements and error processing to gate kinesthetic feedback for artificial arm control. Her 2022 review of this work (22 citations) synthesizes six years of methodological advances. By translating these neural decoding techniques toward practical, user-centered applications, Lopes-Dias is advancing the feasibility of non-invasive BCIs for hand and arm control, directly impacting the quality of life for individuals with motor disabilities.
Research Focus
Key Achievements
Top Papers
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