Difference between revisions of "Aperiodic visual stimulation in a VEP-based BCI"

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{{Project
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{{ProjectProposal
 
|title=Aperiodic visual stimulation in a VEP-based BCI
 
|title=Aperiodic visual stimulation in a VEP-based BCI
 
|image=Bci_arch.png
 
|image=Bci_arch.png
|coordinator=MatteoMatteucci
 
 
|tutor=MatteoMatteucci
 
|tutor=MatteoMatteucci
|start=2009/10/01
+
|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'' (http://tinyurl.com/yhq27pq)
 +
*Erich E. Sutter. ''The brain response interface: communication through visually-induced electrical brain responses'' (http://tinyurl.com/yfqvwp6)
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|start=2009/10/01
 
|resarea=BioSignal Analysis
 
|resarea=BioSignal Analysis
 
|restopic=Brain-Computer Interface
 
|restopic=Brain-Computer Interface
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}}
 
}}
  
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'' (http://tinyurl.com/yhq27pq)
 
*Erich E. Sutter. ''The brain response interface: communication through visually-induced electrical brain responses'' (http://tinyurl.com/yfqvwp6)
 
  
  

Revision as of 11:43, 19 April 2010

Title: Aperiodic visual stimulation in a VEP-based BCI
Bci arch.png

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: Active



Tools and instruments
Matlab, BCI2000, C++
EEG system
Bibliography
J.R. Wolpaw et al. Brain-computer interfaces for communication and control [1]
Erich E. Sutter. The brain response interface: communication through visually-induced electrical brain responses [2]