A. Brady

Spiking Neural Networks for the Analysis of Physiological Signals

A comprehensive review of SNN-based methods for physiological signal analysis across EEG, ECG, and EMG modalities is provided, identifying recurring architectural and methodological trends that indicate the dominance of convolution-based spiking architectures, the critical role of encoding strategies in determining energy efficiency, and the task-dependent nature of SNN training approaches.