SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks
Authors Engelken R Journal Arxiv Citation arXiv:2312.17216. Abstract Spiking Neural Networks (SNNs) are biologically-inspired models that are capable of processing information in streams of action potentials. However, simulating and training SNNs is computationally expensive due to the need to solve large systems of coupled differential equations. In this paper, we
