3 papers
cs.NE2025
Spiking Neural Network Architecture Search: A Survey
Kama Svoboda, Tosiron Adegbija
This survey paper presents a comprehensive examination of Spiking Neural Network (SNN) architecture search (SNNaS) from a unique hardware/software co-design perspective. SNNs, insp…
cs.AR2024
Sparsity-Aware Hardware-Software Co-Design of Spiking Neural Networks: An Overview
Ilkin Aliyev, Kama Svoboda, Tosiron Adegbija +1
Spiking Neural Networks (SNNs) are inspired by the sparse and event-driven nature of biological neural processing, and offer the potential for ultra-low-power artificial intelligen…
cs.AR2023
Design Space Exploration of Sparsity-Aware Application-Specific Spiking Neural Network Accelerators
Ilkin Aliyev. Kama Svoboda, Tosiron Adegbija
Spiking Neural Networks (SNNs) offer a promising alternative to Artificial Neural Networks (ANNs) for deep learning applications, particularly in resource-constrained systems. This…