3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2020
Efficient Similarity-Preserving Unsupervised Learning using Modular Sparse Distributed Codes and Novelty-Contingent Noise
Rod Rinkus
There is increasing realization in neuroscience that information is represented in the brain, e.g., neocortex, hippocampus, in the form sparse distributed codes (SDCs), a kind of c…
cs.NE2017★ 3 cited
Superposed Episodic and Semantic Memory via Sparse Distributed Representation
Rod Rinkus, Jasmin Leveille
The abilities to perceive, learn, and use generalities, similarities, classes, i.e., semantic memory (SM), is central to cognition. Machine learning (ML), neural network, and AI re…