1 citations · 2 across the 3 of their papers we have counts for
3 papers
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
Ole Richter, Chenxi Wu, Adrian M. Whatley +4
With the remarkable progress that technology has made, the need for processing data near the sensors at the edge has increased dramatically. The electronic systems used in these ap…
Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors
Vanessa R. C. Leite, Zhe Su, Adrian M. Whatley +1
Brain-inspired event-based neuromorphic processing systems have emerged as a promising technology in particular for bio-medical circuits and systems. However, both neuromorphic and…
A hardware-software co-design approach to minimize the use of memory resources in multi-core neuromorphic processors
Vanessa R. C. Leite, Zhe Su, Adrian M. Whatley +1
Both in electronics and biology, physical implementations of neural networks have severe energy and memory constraints. We propose a hardware-software co-design approach for minimi…