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Found 2 papers, 1 papers with code
RFI Detection with Spiking Neural Networks
This work demonstrates the viability of SNNs as a promising avenue for machine-learning-based RFI detection in radio telescopes by establishing a minimal performance baseline on traditional and nascent satellite-based RFI sources and is the first work to our knowledge to apply SNNs in astronomy.
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A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks
In particular, spiking neural networks hold the potential to advance artificial intelligence as the basis of third-generation neural networks.
