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Topic: Error-related potentials

ePoster
1 ePoster

In Artificial Intelligence and Biomedical Engineering

ePoster · Biomedical Engineering

Adaptive brain-computer interfaces based on error-related potentials and reinforcement learning

Aline Xavier Fidencio, Christian Klaes, Ioannis Iossifidis · Bernstein Conference 2024

Error-related potentials (ErrPs) represent the neural signature of error processing in the brain and numerous studies have demonstrated their reliable detection using non-invasive techniques such as electroencephalography (EEG). Over recent decades, the brain-computer interface (BCI) community has shown growing interest in leveraging these intrinsic feedback signals to enhance system performance. However, the effective use of ErrPs in a closed-loop setup crucially depends on accurate single-trial detection, which is typically achieved using a subject-specific classifier (or decoder) trained on