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cs.LG2025
Random Spiking Neural Networks are Stable and Spectrally Simple
Ernesto Araya, Massimiliano Datres, Gitta Kutyniok
Spiking neural networks (SNNs) are a promising paradigm for energy-efficient computation, yet their theoretical foundations-especially regarding stability and robustness-remain lim…
cs.LG2025
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
Duc Anh Nguyen, Ernesto Araya, Adalbert Fono +1
Recent years have seen significant progress in developing spiking neural networks (SNNs) as a potential solution to the energy challenges posed by conventional artificial neural ne…