This paper explores a new type of neural network architecture, Differentiable Logic Gate Networks (Diff-Logic), that can be used to classify EEG signals in real-time on edge devices with low latency. Practitioners may care about this approach because it could be used to develop more portable and efficient brain-computer interfaces.
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