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Peggy Series is a lecturer at the University of Edinburgh, specializing in Computational Psychiatry within the School of Informatics. She holds a PhD in Computational Neuroscience from Université de Paris VI and has extensive research experience in the field. Her work focuses on non-classical properties and contextual modulations of receptive fields in primary visual cortex neurons as well as perceptual correlates. She completed postdoctoral research in the laboratory of Alex Pouget at the University of Rochester, and has affiliations with the Gatsby Computational Neuroscience Unit at University College London. Peggy's research themes include Computational Neuroscience, Bayesian models of perception and decision-making, and Neural Coding. She is also involved in various projects related to probabilistic inference deficits in schizophrenia and cross-modal learning. Throughout her career, Peggy has participated in numerous academic presentations and has developed a considerable network in the field of mental health and neuroscience.
University of Edinburgh • Edinburgh, UK
Lecturer in Computational Psychiatry within the School of Informatics.
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