Jeff Orchard

University of Waterloo — Canada

Computer Science · Physical Sciences

18h-index1.3kcitations85works0.42yr avg
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Research Topics

Medical Image Segmentation Techniques(13), Neural dynamics and brain function(13), Neural Networks and Applications(12), Advanced Vision and Imaging(11), Advanced Memory and Neural Computing(8)

Publications85 total

Novel model combining intrinsic and learned behaviours captures divergent effects of dopaminergic drugs on different types of motivation
2026Open Access
A Computational Model of Action Specification in the Basal Ganglia
2025Open Access
Enhancing Predictive Coding Networks for Multi-Modal Generation and Classification
2025Open Access
Developing a Foundation of Vector Symbolic Architectures Using Category Theory
arXiv (Cornell University)·2025Open Access
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding
arXiv (Cornell University)·2024Open Access
Efficient Hyperdimensional Computing With Spiking Phasors
Neural Computation·2024· 3 cited
Online Training of Hopfield Networks using Predictive Coding
arXiv (Cornell University)·2024Open Access
Humans Don’t Get Fooled:Does Predictive Coding Defend Against Adversarial Attack?
2024Open Access
Toward a Model of Associative Memory via Predictive Coding
2024Open Access
A Recurrent Dynamic Model for Efficient Bayesian Optimization<sup>*</sup>
2024
Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions
Lecture notes in computer science·2024· 1 cited
Hyperdimensional Computing with Spiking-Phasor Neurons
2023· 8 cited
Exploiting semantic information in a spiking neural SLAM system
Frontiers in Neuroscience·2023· 14 citedOpen Access
Hyperdimensional Computing with Spiking-Phasor Neurons
arXiv (Cornell University)·2023Open Access
Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agents
Communications in computer and information science·2023· 2 cited
Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agents
2022· 1 citedOpen Access
Deconvolutional Density Network: Free-Form Conditional Density Estimation.
arXiv (Cornell University)·2021Open Access
Comparison of Foveated Downsampling Techniques in Image Recognition
Journal of Computational Vision and Imaging Systems·2021· 1 citedOpen Access
Biological batch normalisation: How intrinsic plasticity improves learning in deep neural networks
PLoS ONE·2020· 4 citedOpen Access
A Predictive-Coding Network That Is Both Discriminative and Generative
Neural Computation·2020· 9 cited
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Frequent Co-authors

Lin Wang(6), Alexander Wong(4), Yanwei Wang(3), Maja Omanovic(3), Bo Yang(2), M. Stella Atkins(2), P. Michael Furlong(2), Wei Sun(2), Henry A. Leopold(2), John Zelek(2), Vasudevan Lakshminarayanan(2), Mehran Ebrahimi(1), Alexander Wong(1), Yanwei Wang(1), Roya Cody(1), Bryan A. Tolson(1), Yuehui Chen(1), Xiaoqian Zhang(1), Alexander Wong(1), Craig S. Kaplan(1)