Auto-encoders are capable of performing input reconstruction, denoising, and classification
through an encoder-decoder structure. Spiking Auto-Encoders (SAEs) can utilize …

Burn is a common traumatic disease. After severe burn injury, the human body will increase
catabolism, and burn wounds lead to a large amount of body fluid loss, with a high mortality …

This work presents a new approach based on a spiking neural network for sound
preprocessing and classification. The proposed approach is biologically inspired by the …

Situational awareness detection and characterization of mental states have a vital role in
medicine and many other fields. An electroencephalogram (EEG) is one of the most effective …

Time–frequency analysis plays a crucial role in various fields, including signal processing
and feature extraction. In this article, we propose an alternative and innovative method for …

Spiking neural networks (SNNs) are considered a crucial research direction to address the
“storage wall” and “power wall” challenges faced by traditional artificial intelligence …

Time-frequency analysis plays a crucial role in various fields, including signal processing
and feature extraction. In this article, we propose an alternative and innovative method for …