Zobrazeno 1 - 4
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pro vyhledávání: '"DeSchutter, Erik"'
Publikováno v:
Neural Networks (2022) 150:237-258
In this paper we explore a neural control architecture that is both biologically plausible, and capable of fully autonomous learning. It consists of feedback controllers that learn to achieve a desired state by selecting the errors that should drive
Externí odkaz:
http://arxiv.org/abs/2006.13471
Autor:
Kato, Mizuki, DeSchutter, Erik
Figures and analysis files for the paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24d794bd1d536ffbf13cd81cd79e7b74
Autor:
Weiliang Chen, DeSchutter, Erik
Publikováno v:
Frontiers in Neuroinformatics; Apr2014, p1-11, 11p
Autor:
Hofmann, Ulrich G., Folkers, Andre, Mösch, Florian, Malina, Thomas, Menne, Kerstin M. L., Biella, Gerardo, Fagerstedt, Patriq, DeSchutter, Erik, Jensen, Winnie, Yoshida, Ken, Hoehl, Dirk, Thomas, Uwe, Kindlundh, Maria G., Norlin, Peter, de Curtis, Marco
Publikováno v:
IEEE Transactions on Biomedical Engineering; Aug2006, Vol. 53 Issue 8, p1672-1677, 6p, 1 Black and White Photograph, 1 Diagram, 3 Graphs