Difference between revisions of "Aperiodic visual stimulation in a VEP-based BCI"
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|description=Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications. | |description=Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications. | ||
| − | *J.R. Wolpaw et al. ''Brain-computer interfaces for communication and control'' | + | *J.R. Wolpaw et al. ''Brain-computer interfaces for communication and control'' (http://tinyurl.com/yhq27pq) |
| − | *Erich E. Sutter. ''The brain response interface: communication through visually-induced electrical brain responses'' | + | *Erich E. Sutter. ''The brain response interface: communication through visually-induced electrical brain responses'' (http://tinyurl.com/yfqvwp6) |
| − | |tutor=MatteoMatteucci | + | |tutor=MatteoMatteucci |
|start=2009/10/01 | |start=2009/10/01 | ||
| − | |||
| − | |||
| − | |||
| − | |||
|resarea=BioSignal Analysis | |resarea=BioSignal Analysis | ||
|restopic=Brain-Computer Interface | |restopic=Brain-Computer Interface | ||
| − | |level= | + | |level=Bs |
|type=Course; Thesis | |type=Course; Thesis | ||
| − | |status= | + | |status=Closed |
}} | }} | ||
;Tools and instruments | ;Tools and instruments | ||
Latest revision as of 12:32, 19 April 2010
| Title: | Aperiodic visual stimulation in a VEP-based BCI |  Image:Bci_arch.png |
| Description: | Visual-evoked potentials (VEPs) are a possible way to drive the a Brain-Computer Interface (BCI). This projects aims at maximizing the discrimination between different stimuli by using numerical codes derived from techniques of digital telecommunications.
| |
| Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it) | |
| Start: | 2009/10/01 | |
| Students: | 1 | |
| CFU: | 5 | |
| Research Area: | BioSignal Analysis | |
| Research Topic: | Brain-Computer Interface | |
| Level: | Bs | |
| Type: | Course, Thesis | |
| Status: | Closed |
- Tools and instruments
- Matlab, BCI2000, C++
- EEG system
