Welcome to Peggy Seriès
Peggy Seriès joins Informatics this month as a lecturer, working in our Institute for Adaptive and Neural Computation.
Peggy started her higher education with a degree in Engineering from the Institut Supérieur d'Électronique de Paris (ISEP) and an MSc degree in Knowledge Based Systems from the University of Sussex in 1996. In 2002, she received a PhD in Computational Neuroscience from the Université Pierre et Marie Curie (Paris). Her PhD was supervised by Dr Y. Fregnac and Dr J. Lorenceau.
She has held postdoctoral positions at the University of Rochester (NY, USA) with Prof. A. Pouget, and at the Gatsby Unit (UCL, London) with Dr P. Latham. Until May next year Peggy will be spending most of her time on a fellowship at NYU, working with Prof. Eero Simoncelli, but she will be making a number of visits back to Edinburgh during this time.
Peggy's primary research aim is to understand how sensory information is encoded and transmitted in the collective activity of large populations of neurons in the brain. She is also interested in understanding how neural activity gives rise to perception and behavioral performance, and how it can be decoded by experimentalists. To investigate these questions, she employs mathematical models and simulations and focusses on the processing of visual information in the cortex.