An attention-based temporal convolutional network for rodent sleep stage classification across species, mutants and experimental environments with single-channel electroencephalogram

This study aims to promote well-standardized cross-laboratory sleep studies to improve our understanding of sleep. Our source codes and supplementary materials will be disclosed later.

Source: Physiological Measurement - August 2, 2022 Category: Physiology Authors: Yuzheng Liu, Zhihong Yang, Yuyang You, Wenjing Shan and WeiKang Ban Source Type: research