7 citations · 13 across the 5 of their papers we have counts for
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cs.NE2022★ 1 cited
Implementing Online Reinforcement Learning with Temporal Neural Networks
James E. Smith
A Temporal Neural Network (TNN) architecture for implementing efficient online reinforcement learning is proposed and studied via simulation. The proposed T-learning system is comp…
cs.NE2022
Temporal Computer Organization
James E. Smith
This document is focused on computing systems implemented in technologies that communicate and compute with temporal transients. Although described in general terms, implementation…
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…