Máté Lengyel, PhD
University of Cambridge & Central European University
Cambridge, UK & Budapest, HungaryMáté Lengyel is Professor of Computational Neuroscience at the Department of Engineering, University of Cambridge, and at the Department of Cognitive Science, Central European University. Previously, he studied biology for his MSc and neurobiology for his PhD at Eötvös University, Budapest. He was then a postdoc at the Gatsby Computational Neuroscience Unit, UCL, followed by a visiting research fellowship at the Collegium Budapest Institute for Advanced Study. He is fascinated by the brain's remarkable capacity to learn continuously about the environment and to use this knowledge flexibly to make predictions and guide its future decisions. His group studies learning and memory from computational, algorithmic/representational and neurobiological viewpoints. Computationally and algorithmically, his work uses ideas from Bayesian approaches to statistical inference and reinforcement learning to characterise the goals and mechanisms of learning in terms of normative principles and behavioural results. His work also involves performing dynamical systems analyses of reduced biophysical and neural network models to understand the mapping of these algorithms into cellular and circuit mechanisms. His group collaborates very closely with experimental neuroscience groups, doing in vitro intracellular recordings, multi-unit recordings in behaving animals, and human psychophysical and fMRI experiments.
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