This work addresses the challenges of radio frequency interference (RFI) in radio astronomy. The authors train spiking neural networks on synthetic and real data, demonstrating a viable path for real-time, energy-efficient RFI detection.
- Nicholas J. Pritchard
- Andreas Wicenec
- Richard Dodson