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ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures
March 7, 2024, 5:42 a.m. | Salim Rukhsar, Anil Kumar Tiwari
cs.LG updates on arXiv.org arxiv.org
Abstract: We proposed an Attentive Recurrent Neural Network (ARNN), which recurrently applies attention layers along a sequence and has linear complexity with respect to the sequence length. The proposed model operates on multi-channel EEG signals rather than single channel signals and leverages parallel computation. In this cell, the attention layer is a computational unit that efficiently applies self-attention and cross-attention mechanisms to compute a recurrent function over a wide number of state vectors and input signals. …
arxiv cs.ai cs.lg eeg eess.sp identify network neural network recurrent neural network type
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