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The goal of a Brain-Computer Interface (BCI) is to control a computer by pure brain activity. Recently, BCIs based on code-modulated visual evoked potentials (c-VEPs) have shown great potential to establish high-performance communication. In this paper we present a c-VEP BCI that uses online adaptation of the classifier to reduce calibration time and(More)
  • W. Dimpfel, M. Spüler, D. E. Nichols
  • 1989
Telemetric recordings of field potentials from frontal cortex, hippocampus, striatum and reticular formation of freely moving rats were analysed before and after injection of the enantiomeric hallucinogenic amphetamine derivatives R-DOB [(−)-1-(2,5-dimethoxy-4-bromophenyl)-2-aminopropane], R-DOM [(−)-1-(2,5-dimethoxy-4-methylphenyl)-2-amino-propane] and(More)
OBJECTIVE To investigate whether error-related potentials can be used to increase information transfer rate of a P3 brain-computer interface (BCI) in healthy and motor-impaired individuals. METHODS Extraction and classification of the error-related potential was performed offline on data recorded from six amyotrophic lateral sclerosis (ALS) patients. An(More)
The goal of a Brain-Computer Interface (BCI) is to enable communication by pure brain activity without the need for muscle control. Recently BCIs based on code-modulated visual evoked potentials (c-VEPs) have shown great potential to establish high-performance communication. In this paper we present two new methods to improve classification in a c-VEP BCI.(More)
Classification of evoked or event-related potentials is an important prerequisite for many types of brain-computer interfaces (BCIs). To increase classification accuracy, spatial filters are used to improve the signal-to-noise ratio of the brain signals and thereby facilitate the detection and classification of evoked or event-related potentials. While(More)
One of the biggest problems in today's BCI research is the non-stationarity of the recorded signals. This non-stationarity can cause the BCI performance to deteriorate over time or drop significantly when transferring data from one session to another. To reduce the effect of non-stationaries, we propose a new method for covariate shift adaption that is(More)
When a person recognizes an error during a task, an error-related potential (ErrP) can be measured as response. It has been shown that ErrPs can be automatically detected in tasks with time-discrete feedback, which is widely applied in the field of Brain-Computer Interfaces (BCIs) for error correction or adaptation. However, there are only a few studies(More)
The effects of dizocilpine (MK-801), (±)-5-methyl-10,11-dihydro-5Hdibenzo-[a,d]-cyclohepten-5,10-imine maleate, after IP injection into freely behaving rats, have been compared with the action of ketamine-chloride and phencyclidine (PCP). MK-801 produced strongly dose-dependent effects which could be followed quantitatively over a time of 4 h. During this(More)
The effect of caffeine (single oral doses of 200 mg and 400 mg) on the CNS was tested under resting conditions and while performing a concentration performance test in a placebo-controlled pilot study on ten healthy males. The EEG was evaluated quantitatively by spectral analysis with a Computer Aided Topographical Electro En-cephalo Metry system.(More)
Motor recovery after stroke is an unsolved challenge despite intensive rehabilitation training programs. Brain stimulation techniques have been explored in addition to traditional rehabilitation training to increase the excitability of the stimulated motor cortex. This modulation of cortical excitability augments the response to afferent input during motor(More)