This study aims to clarify the mechanisms by which the predictions we have about our visual environment influence the processing of expected or unexpected visual stimuli at the cerebral level.
Age range
18 Years – 35 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Performance (% of correct classification) of a support vector machine algorithm in classifying the category of objects and scenes based on electroencephalography signals evoked by the visual perception of expected and unexpected objects and scenes
Timeframe: Through study completion, an average of 1.5 year