Brain-Computer Interface Training Fosters Perceptual Skills to Detect Errors.

Area of Science:

• Neuroscience
• Cognitive Science
• Human-Computer Interaction

Background:

• Accurate perception of subtle visuo-motor errors is crucial for learning and precision tasks.
• Traditional training methods using response-accuracy feedback are limited in improving sensitivity to minor errors.

Purpose of the Study:

• To investigate if real-time feedback on error-related potentials (ErrPs), specifically the error positivity (Pe) component, can enhance perceptual learning.
• To explore the neural mechanisms underlying error perception and learning.

Main Methods:

• A five-day longitudinal study involving perceptual training with real-time ErrP feedback.
• Comparison between ErrP-based feedback and conventional behavioral training.

Main Results:

• ErrP feedback accelerated perceptual learning for subtle ($3^{\circ }$) errors.
• Enhanced perceptual performance for larger ($6^{\circ }$) errors was observed, without affecting learning rate.
• Behavioral improvements correlated with increased Pe amplitude.

Conclusions:

• Error positivity (Pe) is a modifiable neural correlate of conscious error awareness.
• ErrP-based brain-computer interface interventions show promise for improving perceptual learning in critical domains.
• This approach offers novel neurophysiological insights into error perception mechanisms.