This project showcases an implementation of the Tempotron, a supervised synaptic learning algorithm developed by Robert Gütig and Haim Sompolinsky. This implementation leverages the robust computational capabilities of the Graphics Processing Unit (GPU), significantly accelerating the spike pulse encoding, training, and classification.
classification spiking-neural-networks gpu-computing snn radiation-detection pulse-shape-discrimination tempotron
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Updated
Aug 10, 2025 - Python