Comprehensive Pulse Shape Discrimination toolbox for radiation pulse signals separation, offering time- & frequency-domain, neural network, deep-learning, and machine-learning methods in Python + MATLAB with built-in preprocessing and evaluation utilities.

DMLLTDetectorPulseDiscriminator - A supervised machine learning approach for shape-sensitive detector pulse discrimination in lifetime spectroscopy applications

Neutron Gamma Pulse Shape Discrimination using PCNN and CNN

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.