J. Farquhar

Details der Publikationsliste

Zeitraum

1979 - 2009

Anzahl

10

Co-Autoren

Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance (2009)

Hill, J., Farquhar, J., Martens, S.M.M., Biessmann, F., Schölkopf, B.

From an information-theoretic perspective, a noisy transmission system such as a visual Brain-Computer Interface (BCI) speller could benefit from the use of errorcorrecting codes. However, optimizing...

The Brain-Computer Interface Cycle (2009)

Van Gerven, M., Farquhar, J., Schaefer, R., Vlek, R., Geuze, J., Nijholt, A., ...

Brain–computer interfaces (BCIs) have attracted much attention recently, triggered by new scientific progress in understanding brain function and by impressive applications. The aim of this review...

MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration (2008)

Hofmann, M., Steinke, F., Scheel, V., Charpiat, G., Farquhar, J., Aschoff, P., ...

For quantitative PET information, correction of tissue photon attenuation is mandatory. Generally in conventional PET, the attenuation map is obtained from a transmission scan, which uses a rotating...

MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration (2008)

Hofmann, M., Steinke, F., Scheel, V., Charpiat, G., Farquhar, J., Aschoff, P., ...

For quantitative PET information, correction of tissue photon attenuation is mandatory. Generally in conventional PET, the attenuation map is obtained from a transmission scan, which uses a rotating...

A Subspace Kernel for Nonlinear Feature Extraction (2007)

Wu, M., Farquhar, J.

Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive definite kernel...

Time-Dependent Demixing of Task-Relevant EEG Signals (2006)

Hill, N.J., Farquhar, J., Lal, T.N., Schölkopf, B.

Given a spatial filtering algorithm that has allowed us to identify task-relevant EEG sources, we present a simple approach for monitoring the activity of these sources while remaining relatively...

Regularised CSP for Sensor Selection in BCI (2006)

Farquhar, J., Hill, N.J., Lal, T.N., Schölkopf, B.

The Common Spatial Pattern (CSP) algorithm is a highly successful method for efficiently calculating spatial filters for brain signal classification. Spatial filtering can improve classification...