Jeff Orchard

PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation

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 longitudinal...

A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming

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. Genetic...

Making Predictive Coding Networks Generative

Predictive coding (PC) networks are a biologically interesting class of neural networks. Their layered hierarchy mimics the reciprocal connectivity pattern observed in the mammalian cortex, and...

Style Memory: Making a Classifier Network Generative

Deep networks have shown great performance in classification tasks. However, the parameters learned by the classifier networks usually discard stylistic information of the input, in favour of...

Spike-Transmission Delays Improve the Accuracy-Efficiency Trade-Off for Linear Readouts of Spiking Populations

Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions

Reducing Activation-Related Bias in FMRI Registration

Solving for Motion and Activation Simultaneously in an fMRI Experiment with Multiple Stimulus Conditions

Autocorrecting Reconstruction for Flexible Ct Scanners

Segmentation and feature extraction of retinal vascular morphology

Cut-out image mosaics

Intuitive Interface for the Exploration of Volumetric Datasets

Using Flexible Neural Trees to Seed Backpropagation

Combating Adversarial Inputs Using a Predictive-Estimator Network

Sensory Updates to Combat Path-Integration Drift

Toward a Model of Associative Memory via Predictive Coding

Enhancing Predictive Coding Networks for Multi-Modal Generation and Classification

Navigation by Path Integration and the Fourier Transform: A Spiking-Neuron Model