[Koglist] Lengyel Máté előadása: 2017.03.28. (kedd) 17 órától, MTA TTK

Tisztelt Kollégák! Ezúton szeretném meghívni Önöket az MTA TTK Agyi Képalkotó Központ által szervezett következő előadásra, amelyet Lengyel Máté (Cambridge University, CEU) fog tartani "A Bayesian approach to internal models / Mentális modellek Bayes-i megközelítésben" címmel. Az előadás időpontja: 2017. március 28. (kedd) 17:00 óra Az előadás helyszíne: MTA TTK földszinti kis konferenciaterme (1117 Budapest, Magyar tudósok körútja 2.) Szeretettel várunk minden érdeklődőt. Üdvözlettel, Weiss Béla MTA TTK Agyi Képalkotó Központ Abstract: 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. We used a combination of Bayesian inference-based theory and novel data analysis techniques applied to a range of human behavioural experiments to reveal the principles by which complex internal models (1) are acquired through experience, (2) can be shown to be task-independent, and (3) generalise across very different response modalities. CV: Máté Lengyel is a Reader in Computational Neuroscience at the Department of Engineering, University of Cambridge, and a research fellow at the Department of Cognitive Science, Central European University. His interests span a broad range of levels of nervous system organisation, from sub-cellular and cellular through circuit and systems to behaviour. 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 also performs dynamical systems analyses of reduced biophysical models to understand the mapping of these mechanisms into cellular and network models. He 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 more recently a Consolidator Grant by the European Research Council.