VISUAL ATTENTION AND PERCEPTION

ATTENTIONAL DYNAMICS AT MULTIPLE TIME SCALES

We describe the dynamics of attentional signals from the range of several cycles per seconds to few cycles per hour and how this impacts behavioral performance. 

MULTIPLEXING OF ATTENTION IN NEURONAL POPULATIONS

We describe the different information encoded in the prefrontal cortex together with attention, including task information, time information and states of distractability. 

REAL-TIME DECODING OF ATTENTION

We use machine learning methods in order to track, in real-time spatial attention and sustained attention information from both invasive (multiunit activity, local field potentials) and non-invasive (fMRI) signals. These approaches are used in order to develop cognitive brain-machine interfaces. 

ATTENTION AND STATISTICAL LEARNING

We study the respective neural markers of attention and statistical learning using fMRI, EEG and intracortical recordings. 

NEUROPHARMACOLOGY OF ATTENTION AND PERCETUAL LEARNING

We characterize the effect of two neuromodulators, fluoxetine and norepinerphrine on attention and perceptual learning behavior. 

PARIETO-FRONTAL MECHANISMS OF ATTENTION

We characterize the contribution of the prefrontal cortex and of the parietal cortex to spatial attention. 

PSYCHOPHYSICS OF SPATIAL ATTENTION AND PROACTIVE INHIBITORY CONTROL 

We characterize the impact of attention, proactive inhibitory control and their interaction on behavior.