54 citations · 70 across the 4 of their papers we have counts for
5 papers
Hyperdimensional Computing with Spiking-Phasor Neurons
Jeff Orchard, Russell Jarvis
Vector Symbolic Architectures (VSAs) are a powerful framework for representing compositional reasoning. They lend themselves to neural-network implementations, allowing us to creat…
Making Predictive Coding Networks Generative
Jeff Orchard, Wei Sun
Predictive coding (PC) networks are a biologically interesting class of neural networks. Their layered hierarchy mimics the reciprocal connectivity pattern observed in the mammalia…
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming
Aftab Anjum, Fengyang Sun, Lin Wang +1
Neuro-encoded expression programming(NEEP) that aims to offer a novel continuous representation of combinatorial encoding for genetic programming methods is proposed in this paper.…
Style Memory: Making a Classifier Network Generative
Rey Wiyatno, Jeff Orchard
Deep networks have shown great performance in classification tasks. However, the parameters learned by the classifier networks usually discard stylistic information of the input, i…
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation
Henry A Leopold, Jeff Orchard, John S Zelek +1
Analysis of retinal fundus images is essential for eye-care physicians in the diagnosis, care and treatment of patients. Accurate fundus and/or retinal vessel maps give rise to lon…