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Bioinformatics / Hidden Markov model / Markov chain / Geometric primitive / Generative model / Expectation–maximization algorithm / Statistics / Probability and statistics / Markov models


Modelling motion primitives and their timing in biologically executed movements Marc Toussaint TU Berlin Franklinstr[removed], FR 6-9
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Document Date: 2012-04-27 09:41:21

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City

Berlin / Cambridge / /

Company

Neural Information Processing Systems / Neural Networks / Artificial Neural Networks / MIT Press / /

Country

Germany / Jordan / /

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Facility

Informatics University of Edinburgh / /

IndustryTerm

real-world applications / feedback control systems / robotic control applications / spinal motor systems / /

MarketIndex

set 300 / /

NaturalFeature

Forrest Hill / /

Organization

UK a.storkey@ed.ac.uk Abstract Biological / Yt / Introduction Movement / Storkey School / MIT / University of Edinburgh / German Research Foundation / Williams School / /

Person

Marc Toussaint / Emmy Noether / Next / /

Position

Multiple paired forward / full generative model / Singer / generative model for music transcription / full model / model for these spike emissions / /

PublishedMedium

Machine Learning / Nature Neuroscience / /

Technology

Neuroscience / artificial intelligence / Machine Learning / /

URL

http /

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