Bayesian models of perception represent a promising approach to describe information processing by the brain. Predictive coding hypothesizes a process in which top-down expectations are continuously compared across multiple hierarchical levels with bottom-up sensory inputs and the differences or error signals are propagated in a bottom-up direction. The investigators hypothesize that strong expectations, are best investigated in expert processes such as face and voice recognition in humans. Individuals in complex social systems need to extract socially relevant information in a fast and efficient manner; hence, the majority of humans constitute face, voice and gender experts. Nevertheless, linking such combined abilities to brain activity with regards to the predictive coding hypothesis has not been attempted.Our results suggest asymmetric contributions of visual and auditory signals to the gender classification task. This sensitive psychophysical procedure is implemented in a decoding approach using fMRI and multi-voxel pattern analysis (MVPA). The investigators plan to test whether cortical areas implicated in processing auditory and visual gender signals show similar asymmetries.

Inclusion Criteria:

• Healthy men and women, right-handed
• No neurological antecedent
• Signed informed consent

Exclusion Criteria:

• Pregnant women
• Volunteers with MRI contraindications: persons using a pacemaker or insulin pump, persons with a metallic prosthesis or an intracerebral clip, as well as claustrophobic subjects, neurosensory stimulator or implantable defibrillator, cochlear implants, body Foreign ferromagnetic ocular or cerebral close to nerve structures, agitation of the subject (non-cooperating or agitated subjects), ventriculoperitoneal neurosurgical bypass valves, dental apparatus.
• Persons under guardianship, curatorship or any other administrative or judicial measure of deprivation of rights or liberty, as well as persons of legal age protected by law.
• Participants refusing to be informed of the results of the medical examination (inclusion).
• Participants refusing to be informed of the possible detection of an anomaly.