Decoding neuronal populations for visually-guided decision and action

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This project aims to investigate how the cerebral decodes visual information in order to guide sensory-guided actions. Using a high resolution technique, capable of monitoring the activity of many cells in real time, it will study how sensory signals about the motion of visual patterns interact with noise (fluctuations in neuronal activity that are not directly related to the sensation being encoded) in order to determine decisions made by an animal. Expected outcomes include new knowledge about the cellular circuits responsible for vision, and new technologies for decoding brain activity from physiological measurements, which may in the future guide the development of improved bionic devices such as brain-computer interfaces.