2 papers
eess.SP2026
A Hardware-Aware Open-Source Framework for Design Space Exploration of Mixed-Signal Spiking Neural Networks
Sayma Nowshin Chowdhury, Vineeta Nair, Taseen Forhad +3
Energy-efficient neuromorphic computing at the edge requires simulation tools that can capture the non-ideal behavior of mixed-signal spiking neural network (SNN) hardware while su…
eess.SY2026
An Ultra-Low-Power Synthesizable Asynchronous AER Encoder for Neuromorphic Edge Devices
Yihui Wang, Sheng-Yu Peng, Sahil Shah
This paper presents a fully synthesizable, treebased Address-Event Representation (AER) encoder designed for scalable neuromorphic computing systems. To achieve high throughput whi…