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Performance monitoring for brain-computer-interface actions.

Aaron Schurger1, Steven Gale2, Olivia Gozel2

  • 1Laboratory of Cognitive Neuroscience, Brain-Mind Institute, Department of Life Sciences, École Polytechnique Fédérale de Lausanne, Campus Biotech, 9 Chemin des Mines, 1202 Genève, Switzerland; Defitech Chair in Non-Invasive Brain-Machine Interface, Center for Neuroprosthetics, School of Engineering, Ecole Polytechnique Fédérale de Lausanne, Campus Biotech, 9 Chemin des Mines, 1202 Genève, Switzerland; Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne, Campus Biotech, 9 Chemin des Mines, 1202 Genève, Switzerland.

Brain and Cognition
|November 7, 2016
PubMed
Summary

Human performance monitoring can occur without bodily movement. Using a brain-computer interface (BCI), researchers found that subjects learned to accurately judge task performance even without somatosensory feedback.

Keywords:
BCIBrain-computer interfaceMetacognitionMotor imageryPerformance monitoring

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Area of Science:

  • Cognitive Neuroscience
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Metacognitive judgments of certainty aid decision-making.
  • Performance monitoring typically relies on sensory feedback from bodily actions.

Purpose of the Study:

  • To investigate performance monitoring in the absence of somatosensory feedback.
  • To explore metacognition using brain-computer interfaces (BCIs).

Main Methods:

  • Subjects controlled a cursor using a BCI without body movement.
  • Real-time visual feedback was provided during training, but not during the main experiment.
  • Subjects estimated cursor position after a 6-second BCI control period.

Main Results:

  • Initially, judgments relied on prior trial data.
  • Later in the experiment, judgments shifted towards the true cursor position.
  • This indicates learning and performance monitoring without somatosensory input.

Conclusions:

  • Performance monitoring is possible without overt bodily movement or associated sensory feedback.
  • BCIs offer a novel paradigm for studying internal performance monitoring mechanisms.