3 papers
cs.NE2026
SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks
Claas Beger, Florian Walter, Alois Knoll
The Transformer architecture is widely regarded as the most powerful tool for natural language processing, but due to a high number of complex operations, it inherently faces the i…
cs.NE2025
Threshold Adaptation in Spiking Networks Enables Shortest Path Finding and Place Disambiguation
Robin Dietrich, Tobias Fischer, Nicolai Waniek +4
Efficient spatial navigation is a hallmark of the mammalian brain, inspiring the development of neuromorphic systems that mimic biological principles. Despite progress, implementin…
cs.NE2025
Range and Angle Estimation with Spiking Neural Resonators for FMCW Radar
Nico Reeb, Javier Lopez-Randulfe, Robin Dietrich +1
Automotive radar systems face the challenge of managing high sampling rates and large data bandwidth while complying with stringent real-time and energy efficiency requirements. Th…