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

From AIRWiki
Jump to: navigation, search
Line 2: Line 2:
 
|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
|tutor=MatteoMatteucci
 
 
|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'' (http://tinyurl.com/yhq27pq)
 
*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)
 
*Erich E. Sutter. ''The brain response interface: communication through visually-induced electrical brain responses'' (http://tinyurl.com/yfqvwp6)
 
+
|tutor=MatteoMatteucci
 
|start=2009/10/01
 
|start=2009/10/01
 
|resarea=BioSignal Analysis
 
|resarea=BioSignal Analysis
Line 13: Line 12:
 
|level=Bs
 
|level=Bs
 
|type=Course; Thesis
 
|type=Course; Thesis
|status=Active
 
 
}}
 
}}
 
 
 
 
 
;Tools and instruments
 
;Tools and instruments
 
:Matlab, [http://www.bci2000.org/ BCI2000], C++
 
:Matlab, [http://www.bci2000.org/ BCI2000], C++

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
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]