Peter Neri graduated from the sister institution of the Ecole Normale Supérieure, the Scuola Normale Superiore in Pisa. He then trained between Britain and California, starting with a PhD in Oxford followed by 3 brief postdocs at Stanford, Cambridge and UC Berkeley. He was subsequently supported by a University Research Fellowship from the Royal Society, and is now a CNRS researcher.
My core interest is to understand how sensory signals are processed by neural devices to drive and control behaviour. By 'understand' I mean being able to account for all measurable aspects of sensory processing through simple models consisting of a small number of elements embedded within a physiologically plausible circuit. A key feature of my work is the tight integration between experimental characterization on the one hand, and computational accounts of the empirical results on the other. I strive to integrate the two approaches as closely as possible. Over the years I have studied various visual and auditory phenomena in humans and animals, ranging from motion processing in fly neurons to natural image understanding in humans.