Serge Olaf Dumoulin

This paper develops a method combining fMRI and MEG to non-invasively map the temporal hierarchy of visual processing in the human brain with millisecond precision.

This study investigates how numerosity adaptation affects early visual responses, finding that adaptation to higher numerosities reduces the monotonic increase in fMRI response amplitudes across the visual hierarchy.

This study investigates how psilocybin affects visual-contextual computations using psychophysics, fMRI, and computational modeling, finding altered perception and cortical responses.

The paper shows that attentional precision affects how much population receptive fields are attracted to the attended location in visual space.

The paper investigates whether attention-driven attraction of population receptive fields towards the attended locus is affected by stimulus contrast, finding no such effect.

The paper investigates how visual processing of numerals leads to bistable interpretations and shows adaptation biases based on numeral types.

This study investigates the spatial reference frame of visual processing in human visual cortex using fMRI and finds that visual-spatial processing is encoded in a retinotopic frame rather than a spatiotopic one.

This study investigates speed encoding in the human middle temporal cortex using 7T fMRI, showing two distinct encoding mechanisms in different neuronal groups.

The paper investigates how objecthood in natural images influences neuronal activity in early visual cortex, showing that object boundaries and interiors elicit more activity than background.

This paper introduces a model that uses fMRI-derived population receptive fields to predict MEG responses, showing they explain up to 60% of variance in sensor data.

The paper investigates visual cortex plasticity in a rare case of optic chiasm hypoplasia, finding three hemifield maps in one hemisphere and suggesting developmental re-wiring supports their function.

The paper identifies six topographic numerosity maps in human association cortex using fMRI and neural modeling, suggesting a broad role for quantity processing in cognitive functions.

This paper introduces a Bayesian approach to population receptive field mapping in fMRI data to quantify uncertainty in receptive field properties.