Search Results - "Gaidai, R."

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  1. 1

    Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns by Goelz, C., Mora, K., Rudisch, J., Gaidai, R., Reuter, E., Godde, B., Reinsberger, C., Voelcker-Rehage, C., Vieluf, S.

    Published in Neural networks (01-10-2021)
    “…Classification of physiological data provides a data driven approach to study central aspects of motor control, which changes with age. To implement such…”
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    Journal Article
  2. 2

    Classification characteristics of fine motor experts based on electroencephalographic and force tracking data by Gaidai, R., Goelz, C., Mora, K., Rudisch, J., Reuter, E.-M., Godde, B., Reinsberger, C., Voelcker-Rehage, C., Vieluf, S.

    Published in Brain research (01-10-2022)
    “…[Display omitted] •Machine learning provides a data driven way to study central processing of experts.•Decoding of tasks based on EEG is possible with high…”
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    Journal Article
  3. 3

    Interaction of ornidazole with initial and functionalized silicas by Gaidai, Alina R., Vakuliuk, Polina V., Demianenko, Eugeniy M., Kozakevych, Roman B., Murlanova, Tetiana V., Furtat, Iryna M., Lobanov, Victor V., Tertykh, Valentin A., Golub, Alexander A.

    Published in Applied surface science (01-04-2022)
    “…[Display omitted] •Intermolecular interaction of nanomaterials in drug delivery nanosystems.•Quantum chemical calculations of ornidazole with silica carriers…”
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    Journal Article