Probabilistic Models of Motor Production

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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

PDF Full Text

Holdings details from
Call Number: urn:nbn:de:hebis:04-z2020-01213
Publication Date: 2020-04-30
Date of Acceptance: 2020-04-17
Downloads: 70 (2024), 69 (2023), 168 (2022), 186 (2021), 39 (2020)
License: https://creativecommons.org/licenses/by-nc-sa/4.0
Access URL: https://archiv.ub.uni-marburg.de/diss/z2020/0121
https://doi.org/10.17192/z2020.0121

Similar Items