Name (First LAST): Peter NERI
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.
I lecture in the masters of cognitive sciences from the Ecole Normale Supérieure, EHESS, Universités Paris 5 and Paris 6.
Joosten ERM, Shamma SA, Lorenzi C, Neri P (2016). Dynamic reweighting of auditory modulation filters. PLOS Computational Biology 12 (7) e1005019.
Neri P (2015). The elementary operations of human vision are not reducible to template matching. PLOS Computational Biology 11(11) e1004499.
Neri P (2014). Semantic control of feature extraction from natural scenes. Journal of Neuroscience 34: 2374-2388.
Neri P (2011). Coarse to fine dynamics of monocular and binocular processing in human pattern vision. PNAS 108: 10726-10731.
Neri P (2010). Stochastic characterization of small-scale algorithms for human sensory processing. Chaos 20 045118.