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Preprint Aug 2026

SuperNeuroMAT: An Efficient Matrix-based Simulator for Spiking Neural Networks

This paper devise a novel matrix-based approach to model the leaky integrate-and-fire (LIF) neuron dynamics and natively support dense and sparse execution modes and introduces SuperNeuroMAT, an open-source, scalable, and highly efficient Python-based SNN simulator.

Prasanna Date, Kevin Zhu, Shruti R. Kulkarni et al. · 0 citations