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 ## Network Architecture  
 A convolutional neural network was iteratively constructed and tuned to give the best classification accuracy with the data availible. The final architecture is shown below.   
 
-#### Table 1: Summary of Convolutional Neural Network in Keras   
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-![alt text][image1]
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 ## Results and Discussion
 The results obtained are encouraging. Without even using a recurrent neural network (which is the next logical step, see [1]), the CNN is able to correctly classify the test subject’s brain-state about 8.5 times out of 10. This is likely high enough to enable a new level of performance with brain-computer interface (BCI) technologies.