ReSNNance: an HDL generation framework for spiking neural networks
Spiking neural networks (SNNs) are a promising computational paradigm for resource- and energy-constrained edge applications. However, their implementation on field-programmable gate arrays (FPGAs) remains a complex task that typically requires both neuromorphic-computing knowledge and hardware-description expertise. T...
Samuel López-Asunción, Cristina Bermúdez-Martín, Pablo Ituero et al.
· Frontiers in Neuroscience · 0 citations