Section: Scientific Foundations

Visual neuroscience

Our group focuses on the visual system to understand how information is encoded and processed resulting in visual percepts. To do so, we propose functional models of the visual system using a variety of mathematical formalisms, depending on the scale at which models are built, such as spiking neural networks or neural fields. So far, our efforts have been mainly focused on the study of retinal processing and motion integration at the level of V1 and MT cortical areas.

At the retina level, we are modelling its circuitry [6] and we are studying the statistics of the spike train output (see, e.g., the software ENAS http://enas.gforge.inria.fr/v3/ ). Real cell recordings are also analysed in collaboration with Institut de la Vision (Paris). At the level of V1-MT cortical areas, we are investigating the temporal dynamics of motion integration for a wide range of visual stimuli [38] , [41] , [23] , [39] , [42] [75] , [62] [5] . This work is done in collaboration with Institut de Neuroscience de la Timone (Marseille).

Selected publications on this topic.