no code implementations • 24 May 2024 • MHD Anas Alsakkal, Runze Wang, Jayawan Wijekoon, Huajin Tang
A prevailing consensus suggests that spike-based approaches demonstrate exceptional capabilities in capturing the temporal dynamics of neural activity and have the potential to provide energy-efficient solutions for low-power applications.
no code implementations • 24 May 2024 • MHD Anas Alsakkal, Jayawan Wijekoon
The focus of this study is on the development and characterization of this cochlea model, which excels in transforming audio vibrations into biologically realistic auditory spike trains.
no code implementations • 11 Sep 2023 • Huajin Tang, Pengjie Gu, Jayawan Wijekoon, MHD Anas Alsakkal, ZiMing Wang, Jiangrong Shen, Rui Yan
Neuromorphic computing holds the promise to achieve the energy efficiency and robust learning performance of biological neural systems.
