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P300 brain-computer interface moves from lab to classroom

September 15, 2026

A University of Granada project used Bitbrain EEG technology to demonstrate how brain activity can reveal which digit a person is focusing on.

A brain-computer interface (BCI) developed at the University of Granada has brought EEG research out of the laboratory and into the classroom, demonstrating the technology to nearly 100 secondary-school students. Using a Bitbrain Versatile EEG system, the project showed how the P300 brain response can be detected and processed to identify which digit a participant is silently attending to.

The project began as a final-year engineering thesis by Marta Rodríguez Comino, supervised by Dr. Joaquín T. Valderrama and Dr. Iván López Espejo at the University of Granada.

Participants were asked to focus on a chosen digit while numbers appeared on a screen. When the target appeared, it triggered a stronger P300 response, a brain signal associated with attention. Using Bitbrain’s Versatile EEG, signal processing and machine learning, the system could distinguish the attended digit from the others.

A P300-based BCI turned brain activity into a live classroom demonstration.

P300 brain-computer interface experiment using Bitbrain EEG technology in a classroom

The demonstration showed how P300-based brain-computer interfaces can translate measurable brain activity into interaction with external systems, with potential applications ranging from assistive communication to device control.

By taking the experiment outside the laboratory, the project also gave nearly 100 students first-hand exposure to EEG, neuroscience and BCI technology in action.

Read the full story on the Bitbrain blog.

By:The Bitbrain Team

P300 brain-computer interface experiment using Bitbrain EEG technology in a classroom

A P300-based BCI turned brain activity into a live classroom demonstration.

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