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This study presents a radiation-testing methodology for spiking neural networks implemented on flash-based FPGAs, specifically targeting the ODIN processor with Spike-Dependent Synaptic Plasticity (SDSP). The research evaluates the effects of high-energy neutron exposure on classification accuracy and synaptic memory, revealing that enabling on-device learning can enhance robustness against radiation-induced faults. The findings contribute to the development of reliable neuromorphic systems for use in radia

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QuebecVille

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EN