Frédéric Gosselin

Neural computations in prosopagnosia

This study identifies neural computations underlying face identification loss in a prosopagnosia patient using EEG, RSA, and deep neural networks, revealing impaired high-level visual and semantic processing.

Decoding face recognition abilities in the human brain

The paper decodes face recognition abilities from brain activity in super-recognisers and typical recognisers using multivariate pattern analysis and compares them to computational models.

Rhythmic information sampling in the brain during visual recognition

This study investigates rhythmic sampling of visual information in the brain during recognition tasks using MEG, finding oscillatory processing in early visual areas across stimulus time.

Disentangling presentation and processing times in the brain

This study uses a reverse correlation paradigm to show that visual information processed at different times during a fixation affects neural responses and behavior, with some differences linked to the N170 ERP component.

Real-world expectations and their affective value modulate object processing

This study investigates how real-world expectations and their affective value influence object processing using fMRI, showing distinct brain activity patterns in different regions based on expectation validity and context affect.