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Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns. <i>Neural Networks</i>, <i>142</i>, 363–374. <a href=\"https://doi.org/10.1016/j.neunet.2021.04.029\">https://doi.org/10.1016/j.neunet.2021.04.029</a>","mla":"Gölz, Christian Johannes, et al. “Classification of Visuomotor Tasks Based on Electroencephalographic Data Depends on Age-Related Differences in Brain Activity Patterns.” <i>Neural Networks</i>, vol. 142, Elsevier BV, 2021, pp. 363–74, doi:<a href=\"https://doi.org/10.1016/j.neunet.2021.04.029\">10.1016/j.neunet.2021.04.029</a>.","bibtex":"@article{Gölz_Mora_Rudisch_Gaidai_Reuter_Godde_Reinsberger_Voelcker-Rehage_Vieluf_2021, title={Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns}, volume={142}, DOI={<a href=\"https://doi.org/10.1016/j.neunet.2021.04.029\">10.1016/j.neunet.2021.04.029</a>}, journal={Neural Networks}, publisher={Elsevier BV}, author={Gölz, Christian Johannes and Mora, K. and Rudisch, J. and Gaidai, Roman and Reuter, E. and Godde, B. and Reinsberger, Claus and Voelcker-Rehage, C. and Vieluf, S.}, year={2021}, pages={363–374} }","short":"C.J. 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