Etsuki Kobiyama, Darius Urbonas, et al.
SNC 2024
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.
Etsuki Kobiyama, Darius Urbonas, et al.
SNC 2024
Nikolaos Papandreou, Angeliki Pantazi, et al.
ICECS 2010
Thomas Bohnstingl, Ayush Garg, et al.
NeurIPS 2021
Severin Sidler, Angeliki Pantazi, et al.
ICANN 2017