Listar Artículos de revista - Aldizkari artikuluak por autor UPNA "Vidaurre, Carmen"
Mostrando ítems 1-10 de 10
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Canonical maximization of coherence: a novel tool for investigation of neuronal interactions between two datasets
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 ... -
Enhancing sensorimotor BCI performance with assistive afferent activity: an online evaluation
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
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)
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
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
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
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
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 ... -
Oscillatory source tensor discriminant analysis (OSTDA): a regularized tensor pipeline for SSVEP-based BCI systems
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
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 ...