Cover Image

Neuromorphic Astronomy: An End-to-End SNN Pipeline for RFI Detection Hardware

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pritchard, Nicholas J., Wicenec, Andreas, Dodson, Richard, Bennamoun, Mohammed, Muir, Dylan R.
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing RFI-Detection in Radio Astronomy with Liquid State Machines
by: Pritchard, Nicholas J, et al.
Published: (2025)

RFI Detection with Spiking Neural Networks
by: Pritchard, Nicholas J., et al.
Published: (2023)

Polarisation-Inclusive Spiking Neural Networks for Real-Time RFI Detection in Modern Radio Telescopes
by: Pritchard, Nicholas J., et al.
Published: (2025)

Spiking Neural Networks for Radio Frequency Interference Detection in Radio Astronomy
by: Pritchard, Nicholas J., et al.
Published: (2024)

Supervised Radio Frequency Interference Detection with SNNs
by: Pritchard, Nicholas J., et al.
Published: (2024)

The Potential Impact of Neuromorphic Computing on Radio Telescope Observatories
by: Pritchard, Nicholas J., et al.
Published: (2026)

Neuromorphic Cameras in Astronomy: Unveiling the Future of Celestial Imaging Beyond Conventional Limits
by: Yadav, Satyapreet Singh, et al.
Published: (2025)

Enhancing Celestial Imaging: High Dynamic Range with Neuromorphic Cameras
by: Yadav, Satyapreet Singh, et al.
Published: (2025)

The Inefficiency of Genetic Programming for Symbolic Regression
by: Kronberger, Gabriel, et al.
Published: (2024)

A Genetic Algorithm Framework for Optimizing Three-Impulse Orbital Transfers with Poliastro Simulation
by: Do, Phuc Hao, et al.
Published: (2025)

Symbolic Emulators for Cosmology: Accelerating Cosmological Analyses Without Sacrificing Precision
by: Bartlett, Deaglan J., et al.
Published: (2025)

Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up
by: Gómez-Vargas, Isidro, et al.
Published: (2024)

syren-halofit: A fast, interpretable, high-precision formula for the $Λ$CDM nonlinear matter power spectrum
by: Bartlett, Deaglan J., et al.
Published: (2024)

syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy
by: Sui, Ce, et al.
Published: (2024)

A precise symbolic emulator of the linear matter power spectrum
by: Bartlett, Deaglan J., et al.
Published: (2023)

Approximating Rayleigh Scattering in Exoplanetary Atmospheres using Physics-informed Neural Networks (PINNs)
by: Dahlbüdding, David, et al.
Published: (2024)

syren-baryon: Analytic emulators for the impact of baryons on the matter power spectrum
by: Kammerer, Lukas, et al.
Published: (2025)

Deployment Pipeline from Rockpool to Xylo for Edge Computing
by: Zhou, Peng, et al.
Published: (2024)

Performance of the Segment Anything Model in Various RFI/Events Detection in Radio Astronomy
by: Yang, Yanbin, et al.
Published: (2024)

Low-power SNN-based audio source localisation using a Hilbert Transform spike encoding scheme
by: Haghighatshoar, Saeid, et al.
Published: (2024)

Computer Vision Methods for Frequency Analysis of RFI in Radio Astronomy Data
by: Schmid, Natalia A., et al.
Published: (2026)

Real-time RFI Mitigation Techniques in Radio Astronomy and Their Practical Limitations
by: Buch, Kaushal D., et al.
Published: (2025)

APRIL: Auxiliary Physically-Redundant Information in Loss -- A physics-informed framework for parameter estimation with a gravitational-wave case study
by: Scialpi, Matteo, et al.
Published: (2025)

Deep Investigation of Neutral Gas Origins (DINGO): Options for the Processing and Storage of Radio Astronomy Data for robust Deep Spectral Line Imaging in the SKA-Era using uv-Grids
by: Williamson, Alexander, et al.
Published: (2024)

Micro-power spoken keyword spotting on Xylo Audio 2
by: Bos, Hannah, et al.
Published: (2024)

Introduction to Symbolic Regression in the Physical Sciences
by: Bartlett, Deaglan J., et al.
Published: (2025)

Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware
by: Schmidt, Hartmut, et al.
Published: (2024)

Scalable Network Emulation on Analog Neuromorphic Hardware
by: Arnold, Elias, et al.
Published: (2024)

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
by: Wang, Ziming, et al.
Published: (2024)

Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware
by: Chen, Zhenhui, et al.
Published: (2025)

Amortized Inference of Neuron Parameters on Analog Neuromorphic Hardware
by: Kaiser, Jakob, et al.
Published: (2026)

Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
by: Çakal, Uğurcan, et al.
Published: (2023)

Wideband RFI Monitor Requirements, Design, and Commissioning at DRAO
by: Bruce, Nicholas, et al.
Published: (2026)

jaxsnn: Event-driven Gradient Estimation for Analog Neuromorphic Hardware
by: Müller, Eric, et al.
Published: (2024)

Optimising the Processing and Storage of Visibilities using lossy compression
by: Dodson, Richard, et al.
Published: (2024)

Finger Force Decoding from Motor Units Activity on Neuromorphic Hardware
by: Baracat, Farah, et al.
Published: (2025)

Analysis of Generalized Hebbian Learning Algorithm for Neuromorphic Hardware Using Spinnaker
by: Sharma, Shivani, et al.
Published: (2024)

hxtorch: PyTorch for BrainScaleS-2 -- Perceptrons on Analog Neuromorphic Hardware
by: Spilger, Philipp, et al.
Published: (2020)

Short-reach Optical Communications: A Real-world Task for Neuromorphic Hardware
by: Arnold, Elias, et al.
Published: (2024)

Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing
by: Pedersen, Jens E., et al.
Published: (2023)