Our percepts rely on an internal model of the environment, relating physical processes of the world to inputs received by our senses, and thus their veracity critically hinges upon how well this internal model is adapted to the statistical properties of the environment. Dr. Lengyel used a combination of Bayesian inference-based theory and novel data analysis techniques applied to a range of human behavioural experiments, as well as electrophysiological recordings from V1, to reveal the principles by which complex internal models (1) are represented in neural activities, (2) are adapted to the environment, (3) can be shown to be task-independent, and (4) generalise across very different response modalities.
Máté Lengyel is Professor of Computational Neuroscience at the Department of Engineering, University of Cambridge, and a Senior Research Fellow at the Department of Cognitive Science, Central European University. Máté’s interests span a broad range of levels of nervous system organisation, from sub-cellular and cellular through circuit and systems to behaviour and cognition. He studies these phenomena from computational, algorithmic/representational and neurobiological viewpoints. Computationally and algorithmically, he 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. He performs dynamical systems analyses of reduced biophysical models to understand the mapping of these mechanisms into cellular and network models. Máté obtained his MSc and PhD at the Eötvös Loránd University, followed by a post-doctoral research fellowship at the Gatsby Computational Neuroscience Unit, UCL, and a visiting research fellowship at the Collegium Budapest Institute for Advanced Study. He has been awarded an Investigator Award by the Wellcome Trust, and a Consolidator Grant by the European Research Council.
Faculty Host: Stefano Fusi, PhD, Associate Professor of Neuroscience; Principal Investigator at Columbia's Zuckerman Institute
For questions about the lecture, please contact [email protected]
Those who wish to meet the speaker during the visit should contact Stefano Fusi.
This seminar is part of the Systems, Cognitive and Computational Neuroscience Seminar Series at Columbia's Zuckerman Institute, which focuses on cognition and decision making research. Internationally renowned speakers present their recent work on these topics using behavioral, neurobiological and computational approaches. Seminars take place approximately every other week on Tuesdays at 4 pm in the Jerome L. Greene Science Center (9th floor).