Investigators at Hongik University Describe Findings in Biomedical Engineering (Exploring the Potential of Spiking Neural Networks In Biomedical Applications: Advantages, Limitations, and Future Perspectives).

A research paper from Hongik University in Seoul, South Korea explores the potential of Spiking Neural Networks (SNNs) in biomedical applications. The paper highlights the advantages of SNNs compared to other models like LSTM, as well as the limitations of SNN classifiers. The researchers discuss the applications of SNNs in analyzing biomedical signals such as EEG, EMG, and ECG data, as well as their potential in specific anatomical regions. The paper concludes by offering insights into the advantages, disadvantages, challenges, and opportunities of various SNN models in healthcare and biomedical domains. This research has been peer-reviewed and provides a nuanced perspective on the potential impact of SNNs in the biomedical field. [Extracted from the article]