10 citations · 12 across the 3 of their papers we have counts for
3 papers
Towards spiking analog hardware implementation of a trajectory interpolation mechanism for smooth closed-loop control of a spiking robot arm
Daniel Casanueva-Morato, Chenxi Wu, Giacomo Indiveri +2
Neuromorphic engineering aims to incorporate the computational principles found in animal brains, into modern technological systems. Following this approach, in this work we propos…
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…
Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
Uğurcan Çakal, Maryada, Chenxi Wu +2
Mixed-signal neuromorphic processors provide extremely low-power operation for edge inference workloads, taking advantage of sparse asynchronous computation within Spiking Neural N…