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Some stimuli, such as sinusoidal networks in motion, or the best known, Necker's cube, are simple visual stimulations generating interpretations of unstable and oscillatory shapes or movements, mutually exclusive. Currently, the explanatory models of these perception phenomena are based on adaptation and learning mechanisms as well as the importance of noise in the perceptual and decision-making system. Often noise is a harmful component, but it can also be a facilitator in perceptual systems: the investigator's eye is always in motion, it is the micro-movements during eye fixation (phase of eye stability). In particular, the role of micro-eye movements has been identified in perceptual systems, and it will be necessary here to relate these micro-movements to the perceptive tilts facing multisable stimuli. However, how to access the perceptive states is a real question, since it has been shown that the participant's transfer of his perceptual state by means of a motor response can alter the very state of the percept. This is why the EEG activity will be analyzed to learn to discriminate the different percepts over time, without disruption of the participant's perceptual exploration endogenous activity.
Full description
Each participant will benefit from a medical interview before inclusion to eliminate the contraindications to this study. The maximum duration of the individual participation of each subject in this study is 5 hours in two sessions. Each session lasts 2h30. Both sessions are spaced a maximum of 14 days apart. Each session includes EEG headset placement and oculometer calibration (20 min), followed by recording EEG and eye tracking activity during a visual cognitive task where the participant will be presented with multi-stable visual stimuli to watch. for one or two minutes after the tests. By repeating the essays and the conditions of presentation, each session will be organized in six blocks of 20 minutes each, interspersed with a break.
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80 participants in 1 patient group
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Tiphaine Montagnon; Anne Guerin, PhD
Data sourced from clinicaltrials.gov
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