Spiking Neural Networks and Temporal Transformers for Real-Time Seizure Prediction and Cognitive Brain-Computer Interfaces
Prediction of epileptic seizures using Electroencephalography (EEG) is an important research area, as it can provide early warning and enhance patient safety in neurological healthcare. Deep learning models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Vision Transformers and Spiking N...