Now showing items 1-14 of 14

    • Canonical maximization of coherence: a novel tool for investigation of neuronal interactions between two datasets 

      Vidaurre, Carmen Upna Orcid; Nolte, Guido; Vries, I. E. J. de; Gómez Fernández, Marisol Upna Orcid; Boonstra, Tjeerd W.; Müller, Klaus Robert; Villringer, Arno; Nikulin, Vadim V. (Elsevier, 2019)   Artículo / Artikulua  OpenAccess
      Synchronization between oscillatory signals is considered to be one of the main mechanisms through which neuronal populations interact with each other. It is conventionally studied with mass-bivariate measures utilizing ...
    • EEG-based endogenous online co-adaptive brain-computer interfaces: strategy for success? 

      Scherer, Reinhold; Faller, Josef; Sajda, Paul; Vidaurre, Carmen Upna Orcid (IEEE, 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      A Brain-Computer Interface (BCI) translates patterns of brain signals such as the electroencephalogram (EEG) into messages for communication and control. In the case of endogenous systems the reliable detection of induced ...
    • Enhancing sensorimotor BCI performance with assistive afferent activity: an online evaluation 

      Vidaurre, Carmen Upna Orcid; Ramos Murguialday, Ander; Haufe, Stefan; Gómez Fernández, Marisol Upna Orcid; Müller, Klaus Robert; Nikulin, Vadim V. (Elsevier, 2019)   Artículo / Artikulua  OpenAccess
      An important goal in Brain-Computer Interfacing (BCI) is tofind and enhance procedural strategies for users for whom BCI control is not sufficiently accurate. To address this challenge, we conducted offline analyses and ...
    • Ensembles of adaptive spatial filters increase BCI performance: an online evaluation 

      Sannelli, Claudia; Vidaurre, Carmen Upna Orcid; Müller, Klaus Robert; Blankertz, Benjamin (IOP, 2016)   Artículo / Artikulua  OpenAccess
      Objective: In electroencephalographic (EEG) data, signals from distinct sources within the brain are widely spread by volume conduction and superimposed such that sensors receive mixtures of a multitude of signals. This ...
    • A fast SSVEP-based brain-computer interface 

      Jorajuría, Tania Upna Orcid; Gómez Fernández, Marisol Upna Orcid; Vidaurre, Carmen Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Literature of brain-computer interfacing (BCI) for steady-state visual evoked potentials (SSVEP) shows that canonical correlation analysis (CCA) is the most used method to extract features. However, it is known that CCA ...
    • Immediate brain plasticity after one hour of brain-computer interface (BCI) 

      Nierhaus, Till; Vidaurre, Carmen Upna Orcid; Sannelli, Claudia; Müller, Klaus Robert; Villringer, Arno (Wiley, 2019)   Artículo / Artikulua  OpenAccess
      A brain-computer-interface (BCI) allows humans to control computational devices using only neural signals. However, it is still an open question, whether performing BCI also impacts on the brain itself, i.e. whether brain ...
    • Improving motor imagery classification during induced motor perturbations 

      Vidaurre, Carmen Upna Orcid; Jorajuría, Tania Upna Orcid; Ramos Murguialday, Ander; Müller, Klaus Robert; Gómez Fernández, Marisol Upna Orcid; Nikulin, Vadim V. (IOP Publishing, 2021)   Artículo / Artikulua  OpenAccess
      Objective. Motor imagery is the mental simulation of movements. It is a common paradigm to design brain-computer interfaces (BCIs) that elicits the modulation of brain oscillatory activity similar to real, passive and ...
    • Intermuscular coherence between homologous muscles during dynamic and static movement periods of bipedal squatting 

      Kenville, Rouven; Maudrich, Tom; Vidaurre, Carmen Upna Orcid; Maudrich, Dennis; Villringer, Arno; Ragert, Patrick; Nikulin, Vadim V. (American Physiological Society, 2020)   Artículo / Artikulua  OpenAccess
      Coordination of functionally coupled muscles is a key aspect of movement execution. Demands on coordinative control increase with the number of involved muscles and joints, as well as with differing movement periods within ...
    • A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity 

      Sannelli, Claudia; Vidaurre, Carmen Upna Orcid; Müller, Klaus Robert; Blankertz, Benjamin (Plos one, 2019)   Artículo / Artikulua  OpenAccess
      Brain-Computer Interfaces (BCIs) are inefficient for a non-negligible part of the population, estimated around 25%. To understand this phenomenon in Sensorimotor Rhythm (SMR) based BCIs, data from a large-scale screening ...
    • Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings 

      Vidaurre, Carmen Upna Orcid; Gurunandan, Kshipra; Jamshidi Idaji, Mina; Nolte, Guido; Gómez Fernández, Marisol Upna Orcid; Villringer, Arno; Müller, Klaus Robert; Nikulin, Vadim V. (Elsevier, 2023)   Artículo / Artikulua  OpenAccess
      Instantaneous and peak frequency changes in neural oscillations have been linked to many perceptual, motor, and cognitive processes. Yet, the majority of such studies have been performed in sensor space and only occasionally ...
    • Optimizando desviaciones moderadas ponderadas para interfaces cerebro ordenador 

      Fumanal Idocin, Javier Upna Orcid; Vidaurre, Carmen Upna Orcid; Gómez Fernández, Marisol Upna Orcid; Urío Larrea, Asier; Pereira Dimuro, Graçaliz Upna Orcid; Bustince Sola, Humberto Upna Orcid (Universidad de Málaga, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Las interfaces cerebro-ordenador (BCI) basadas en el análisis de Electroencefalografía (EEG) están compuestas por varios elementos para procesar y clasificar las señales de entrada del cerebro. Una fase relevante de estos ...
    • Oscillatory source tensor discriminant analysis (OSTDA): a regularized tensor pipeline for SSVEP-based BCI systems 

      Jorajuría, Tania Upna Orcid; Jamshidi Idaji, Mina; İşcan, Zafer; Gómez Fernández, Marisol Upna Orcid; Nikulin, Vadim V.; Vidaurre, Carmen Upna Orcid (Elsevier, 2021)   Artículo / Artikulua  OpenAccess
      Periodic signals called Steady-State Visual Evoked Potentials (SSVEP) are elicited in the brain by flickering stimuli. They are usually detected by means of regression techniques that need relatively long trial lengths to ...
    • Sensorimotor functional connectivity: a neurophysiological factor related to BCI performance 

      Vidaurre, Carmen Upna Orcid; Haufe, Stefan; Jorajuría, Tania Upna Orcid; Müller, Klaus Robert; Nikulin, Vadim V. (Frontiers Media, 2020)   Artículo / Artikulua  OpenAccess
      Brain-computer interfaces (BCIs) are systems that allow users to control devices using brain activity alone. However, the ability of participants to command BCIs varies from subject to subject. About 20% of potential users ...
    • Sources of linear and non-linear synchrony between brain and muscles: linear and non-linear CMC sources 

      Vidaurre, Carmen Upna Orcid; Gómez Fernández, Marisol Upna Orcid; Nolte, Guido; Villringer, Arno; Carlowitz Ghori, Katherina von; Nikulin, Vadim V. (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This manuscript shows that it is possible to find distinct sources of brain activity, at similar frequencies, arising from linear and non-linear interactions of the brain with the muscular system. Those sources were obtained ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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