RSC4Earth
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Remote Sensing in Geo- and Ecosystem Research
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Remote Sensing Department at the UFZ
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Data
Fine Motor Control
Classification Characteristics of Fine Motor Experts Based on Electroencephalographic and Force Tracking Data
The application of machine learning techniques provides a data-driven approach for a deeper understanding of the development and …
R. Gaidai
,
C. Goelz
,
Karin Mora
,
J. Rudisch
,
E.-M. Reuter
,
B. Godde
,
C. Reinsberger
,
C. Voelcker-Rehage
,
S. Vieluf
Cite
DOI
Classification of Visuomotor Tasks Based on Electroencephalographic Data Depends on Age-Related Differences in Brain Activity Patterns
Classification of physiological data provides a data driven approach to study central aspects of motor control, which changes with age. …
C. Goelz
,
Karin Mora
,
J. Rudisch
,
R. Gaidai
,
E. Reuter
,
B. Godde
,
C. Reinsberger
,
C. Voelcker-Rehage
,
S. Vieluf
Cite
DOI
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