Probabilistic Models of Motor Production

Velychko, Dmytro

Probabilistic Models of Motor Production

N. Bernstein defined the ability of the central neural system (CNS) to control many degrees of freedom of a physical body with all its redundancy and flexibility as the main problem in motor control. He pointed at that man-made mechanisms usually have one, sometimes two degrees of freedom (DOF); whe...

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Bibliographic Details
Main Author:	Velychko, Dmytro
Contributors:	Endres, Dominik (Prof., Dr.) (Thesis advisor)
Format:	Doctoral Thesis
Language:	English
Published:	Philipps-Universität Marburg 2020
Subjects:	latente Dynamik Bayes'sche Statistik modularity Motorik dynamical system dynamisches System Gaussian Process Variationsinferenz Mathematische Psycholog Statistik Modularität Psychologie Psychophysik Künstliche Intelligenz Maschinelles Lernen Bayesian statistics Bayes-Entscheidungstheorie motorische Primitive latent dynamics variational inference motor primitives Handlungswahrnehmung, action perception Gauss-Prozess Psychology
Online Access:	PDF Full Text
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Probabilistic Models of Motor Production

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