3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming

Author(s):  
R. Beveridge ◽  
S. Wilson ◽  
D. Coyle
2011 ◽  
Vol 122 ◽  
pp. S152-S153
Author(s):  
Z. Kubova ◽  
M. Kuba ◽  
J. Kremlacek ◽  
J. Szanyi ◽  
J. Langrova ◽  
...  

1999 ◽  
Vol 39 (24) ◽  
pp. 4122-4139 ◽  
Author(s):  
Ivonne Torriente ◽  
Mitchell Valdes-Sosa ◽  
Daniel Ramirez ◽  
Maria A Bobes

1992 ◽  
Vol 80 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Miroslav Kuba ◽  
Zuzana Kubov�

1996 ◽  
Vol 92 (3) ◽  
pp. 211-221 ◽  
Author(s):  
Zuzana Kubová ◽  
Miroslav Kuba ◽  
Jana Hrochová ◽  
Jaroslav Svěrák

2019 ◽  
Vol 184 (Supplement_1) ◽  
pp. 584-592 ◽  
Author(s):  
Craig Versek ◽  
Armen Rissmiller ◽  
Anthony Tran ◽  
Munish Taya ◽  
Kaushik Chowdhury ◽  
...  

Abstract A new product prototype system for diagnosing vision and neurological disorders, called NeuroDotVR, is described herein: this system utilizes a novel wireless NeuroDot brain sensor [Versek C et al. J Neural Eng. 2018 Aug; 15(4):046027] that quantitatively measures visual evoked potentials and fields resulting from custom visual stimuli displayed on a smartphone housed in a virtual reality headset. The NeuroDot brain sensor is unique in that it can be operated both in regular electroencephalography mode, as well as a new electric field encephalography mode, which yields improvements in signal sensitivity and provides new diagnostic information. Steady state and transient visual evoked potentials and fields using reversing checkerboard stimuli are presented with case studies in amblyopia, glaucoma, and dark adaptation. These preliminary data sets highlight potential clinical applications that may be pursued in further product development and scientific studies.


2008 ◽  
Vol 49 (10) ◽  
pp. 4418 ◽  
Author(s):  
Alison R. Davis ◽  
John J. Sloper ◽  
Magella M. Neveu ◽  
Chris R. Hogg ◽  
Michael J. Morgan ◽  
...  

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