Hello! We have a project where participants engaged in reading, thinking and then responding to an ethical dilemma. We used the EMOTIV 14 channel headset to track brain activity. The reading, thinking and responding times varied across participants (they were given all the time they needed). Do you have any advice or literature about either standardizing these varying times across participants or time-varying analysis?
Many thanks,
Deyang Yu
Hi.
I'd rather suggest you use LSTM-based neural networks. Such a network allows taking into account the order of signals by means of a recurrent connection. Moreover, this type of network is widely used in the NLP area as it can reveal dependencies between words.
In addition, you can inspect attention mechanics to maybe further improve results with LSTM.
As an example:
Article Classification of Hand Movements from EEG using a Deep Atten...
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