Yonggui Yan, Jie Chen, et al.
ICML 2023
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.
Yonggui Yan, Jie Chen, et al.
ICML 2023
Oleh Kolner, Thomas Bohnstingl, et al.
ICLR 2025
Federico Balduini, Alan Molinari, et al.
CMD 2023
Jianke Yang, Wang Rao, et al.
NeurIPS 2024