Severin Sidler, Angeliki Pantazi, et al.
ICANN 2017
Deep learning has achieved outstanding success in several artificial intelligence (AI) tasks, resulting in human-like performance, albeit at a much higher power than the ~20 watts required by the human brain. We have developed an approach that incorporates biologically inspired neural dynamics into deep learning using a novel construct called spiking neural unit (SNU). Remarkably, these biological insights enabled SNU-based deep learning to even surpass the state-of-the-art performance while simultaneously enhancing the energy-efficiency of AI hardware implementations.
Severin Sidler, Angeliki Pantazi, et al.
ICANN 2017
Minghong Fang, Zifan Zhang, et al.
CCS 2024
En-de Chu, Jason Tran, et al.
APS Global Physics Summit 2025
Mateo Espinosa Zarlenga, Gabriele Dominici, et al.
ICML 2025