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