Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection

no code implementations • 13 Jul 2023 • Richard Gall, Deniz Kocanaogullari, Murat Akcakaya, Deniz Erdogmus, Rajkumar Kubendran

In this paper, we propose a hybrid convolutional neural network-spiking neural network (CNN-SNN) corticomorphic architecture, inspired by the auditory cortex, which uses EEG data along with multi-speaker speech envelopes to successfully decode auditory attention with low latency down to 1 second, using only 8 EEG electrodes strategically placed close to the auditory cortex, at a significantly higher accuracy of 91. 03%, compared to the state-of-the-art.

Edge-computing EEG