The benefit of combining neuronal feedback and feed-forward control for robustness in step down perturbations of simulated human walking depends on the muscle function
%0 Journal Article
%1 haeufle2018benefit
%A Haeufle, Daniel FB
%A Schmortte, Birgit
%A Geyer, Hartmut
%A Müller, Roy
%A Schmitt, Syn
%D 2018
%I Frontiers
%J Frontiers in Computational Neuroscience
%K cbb jour myown
%P 80
%T The benefit of combining neuronal feedback and feed-forward control for robustness in step down perturbations of simulated human walking depends on the muscle function
%V 12
@article{haeufle2018benefit,
added-at = {2019-09-05T15:54:30.000+0200},
author = {Haeufle, Daniel FB and Schmortte, Birgit and Geyer, Hartmut and M{\"u}ller, Roy and Schmitt, Syn},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/206902148dc3c751ab648b7ff1e78f3b1/synschmitt},
interhash = {40bb08ffbd0b4490afec602136f49106},
intrahash = {06902148dc3c751ab648b7ff1e78f3b1},
journal = {Frontiers in Computational Neuroscience},
keywords = {cbb jour myown},
pages = 80,
publisher = {Frontiers},
timestamp = {2019-09-05T19:18:21.000+0200},
title = {The benefit of combining neuronal feedback and feed-forward control for robustness in step down perturbations of simulated human walking depends on the muscle function},
volume = 12,
year = 2018
}
