B Z Allison

Summary

Affiliation: Graz University of Technology
Country: Austria

Publications

  1. ncbi Toward smarter BCIs: extending BCIs through hybridization and intelligent control
    B Z Allison
    Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria
    J Neural Eng 9:013001. 2012
  2. ncbi BCI demographics: how many (and what kinds of) people can use an SSVEP BCI?
    Brendan Allison
    Laboratory of Brain Computer Interfaces, Technical University of Graz, A8010 Graz, Austria
    IEEE Trans Neural Syst Rehabil Eng 18:107-16. 2010
  3. ncbi Toward a hybrid brain-computer interface based on imagined movement and visual attention
    B Z Allison
    Institute for Knowledge Discovery, BCI Lab, Graz University of Technology, 8010 Graz, Austria
    J Neural Eng 7:26007. 2010
  4. ncbi A comparison of three brain-computer interfaces based on event-related desynchronization, steady state visual evoked potentials, or a hybrid approach using both signals
    C Brunner
    Institute for Knowledge Discovery, Laboratory of Brain Computer Interfaces, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria
    J Neural Eng 8:025010. 2011

Collaborators

Detail Information

Publications4

  1. ncbi Toward smarter BCIs: extending BCIs through hybridization and intelligent control
    B Z Allison
    Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria
    J Neural Eng 9:013001. 2012
    ..We also present new challenges that are likely to emerge as these novel BCI directions become more widespread...
  2. ncbi BCI demographics: how many (and what kinds of) people can use an SSVEP BCI?
    Brendan Allison
    Laboratory of Brain Computer Interfaces, Technical University of Graz, A8010 Graz, Austria
    IEEE Trans Neural Syst Rehabil Eng 18:107-16. 2010
    ..Most subjects stated that they did not consider the flickering stimuli annoying and would use or recommend this BCI system. These and other demographic analyses may help identify the best BCI for each user...
  3. ncbi Toward a hybrid brain-computer interface based on imagined movement and visual attention
    B Z Allison
    Institute for Knowledge Discovery, BCI Lab, Graz University of Technology, 8010 Graz, Austria
    J Neural Eng 7:26007. 2010
    ..Subjects proficient with both approaches might combine them to increase information throughput by improving accuracy, reducing selection time, and/or increasing the number of possible commands...
  4. ncbi A comparison of three brain-computer interfaces based on event-related desynchronization, steady state visual evoked potentials, or a hybrid approach using both signals
    C Brunner
    Institute for Knowledge Discovery, Laboratory of Brain Computer Interfaces, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria
    J Neural Eng 8:025010. 2011
    ..Subjects who are proficient in both BCI approaches might be able to combine these approaches in different ways and for different goals...