https://www.selleckchem.com/products/bay-218.html
Automatic detection of interictal epileptiform discharges (IEDs, short as ``spikes'' from an epileptic brain can help predict seizure recurrence and support the diagnosis of epilepsy. Developing fast, reliable and robust detection methods for IEDs based on scalp or intracortical EEG may facilitate online seizure monitoring and closed-loop neurostimulation. We developed a new deep learning approach, which employs a long short-term memory (LSTM) network architecture (``IEDnet'' and an auxiliary classifier generative adversarial network
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