A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks

2018 ◽  
Author(s):  
Mohamed Attia ◽  
Imali Hettiarachchi ◽  
Shady Mohamed ◽  
Mohammed Hossny ◽  
Saeid Nahavandi
Keyword(s):  
Neural Networks ◽  
Steady State ◽  
Evoked Potentials ◽  
Frequency Domain ◽  
Convolutional Neural Networks ◽  
Visual Evoked Potentials ◽  
Visual Evoked

scholarly journals Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials

2018 ◽  
Vol 15 (6) ◽  
pp. 066031 ◽  
Author(s):  
Nicholas Waytowich ◽  
Vernon J Lawhern ◽  
Javier O Garcia ◽  
Jennifer Cummings ◽  
Josef Faller ◽  
...  
Keyword(s):  
Neural Networks ◽  
Steady State ◽  
Evoked Potentials ◽  
Convolutional Neural Networks ◽  
Visual Evoked Potentials ◽  
Visual Evoked

P239 The influence of mental activity to steady-state visual evoked potentials (SSVEP)

1996 ◽  
Vol 99 (4) ◽  
pp. 327
Author(s):  
V. Radivojević ◽  
M. Car ◽  
M. Rajković ◽  
. Martinović ◽  
N. Krstić
Keyword(s):  
Steady State ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
Mental Activity ◽  
Visual Evoked

14.4: Polychromatic High-Frequency Steady-State Visual Evoked Potentials for Brain-Display Interaction

2013 ◽  
Vol 44 (1) ◽  
pp. 146-149 ◽  
Author(s):  
Yu-Yi Chien ◽  
Fang-Cheng Lin ◽  
Ching-Chi Chou ◽  
John K. Zao ◽  
Heng-Yuan Kuo ◽  
...  
Keyword(s):  
Steady State ◽  
Evoked Potentials ◽  
Visual Evoked Potentials ◽  
High Frequency ◽  
Visual Evoked
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