7 citations · 16 across the 9 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.AR2020★ 7 cited
Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing
Harideep Nair, John Paul Shen, James E. Smith
Temporal Neural Networks (TNNs) use time as a resource to represent and process information, mimicking the behavior of the mammalian neocortex. This work focuses on implementing TN…
cs.NE2020★ 4 cited
A Neuromorphic Paradigm for Online Unsupervised Clustering
James E. Smith
A computational paradigm based on neuroscientific concepts is proposed and shown to be capable of online unsupervised clustering. Because it is an online method, it is readily amen…
cs.LO2020★ 3 cited
(Newtonian) Space-Time Algebra
James E. Smith
The space-time (s-t) algebra provides a mathematical model for communication and computation using values encoded as events in discretized linear (Newtonian) time. Consequently, th…