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    Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

    Published 2025-07-01
    “…Therefore, the objectives of this study are threefold: (i) to develop a more viable and practical system to predict the movements of five fingers and the no mental task (NoMT) state from EEG signals (ii) to analyze the effects of the statistical-significance based feature selection method over four different feature domains (nonlinear domain, time-domain, frequency-domain and time-frequency domain) and their combinations, and (iii) to test these feature sets with different and prominent classifiers.MethodsIn this study, our major goal is not to explore the best machine algorithm performance, but to investigate the best EEG channels and features that can be used in the classification of finger movements. …”
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    Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks by Mavin Heim, Florian Heinrichs, Michael Hueppe, Fran Nunez, Alexander Szameitat, Muriel Reuter, Stefan M. Goetz, Corinna Weber

    Published 2025-01-01
    “…This paper introduces a novel application of functional neural networks (FNNs) in the domain of electroencephalography-based (EEG-based) brain-computer interfaces (BCIs), targeting self-paced motor execution (ME) and motor imagery (MI). …”
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    Cross-Subject Transfer Learning for Boosting Recognition Performance in SSVEP-Based BCIs by Yue Zhang, Sheng Quan Xie, Chaoyang Shi, Jun Li, Zhi-Qiang Zhang

    Published 2023-01-01
    “…Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have been substantially studied in recent years due to their fast communication rate and high signal-to-noise ratio. …”
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    From energy to cellular forces in the Cellular Potts Model: An algorithmic approach. by Elisabeth G Rens, Leah Edelstein-Keshet

    Published 2019-12-01
    “…Single and collective cell dynamics, cell shape changes, and cell migration can be conveniently represented by the Cellular Potts Model, a computational platform based on minimization of a Hamiltonian. …”
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