Now showing items 1-7 of 7

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

      Vidaurre, Carmen Upna; Nolte, Guido; Vries, I. E. J. de; Gómez Fernández, Marisol Upna; 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 (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; Ramos Murguialday, Ander; Haufe, Stefan; Gómez Fernández, Marisol Upna; 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; 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 ...
    • Immediate brain plasticity after one hour of brain-computer interface (BCI) 

      Nierhaus, Till; Vidaurre, Carmen Upna; Sannelli, Claudia; Mueller, 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 ...
    • 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; 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 ...
    • Sources of linear and non-linear synchrony between brain and muscles: linear and non-linear CMC sources 

      Vidaurre, Carmen Upna; Gómez Fernández, Marisol Upna; Nolte, Guido; Villringer, Arno; Carlowitz Ghori, Katherina von; Nikulin, Vadim V. (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena
      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 ...