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Jeff Orchard
Jeff Orchard
Associate Professor, Cheriton School of Computer Science, University of Waterloo
Verified email at uwaterloo.ca - Homepage
Title
Cited by
Year
Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions
PM Furlong, K Simone, NSY Dumont, M Bartlett, TC Stewart, J Orchard, ...
International Conference on Artificial Neural Networks, 94-108, 2024
2024
Efficient Hyperdimensional Computing With Spiking Phasors
J Orchard, PM Furlong, K Simone
Neural Computation 36 (9), 1886-1911, 2024
2024
Online Training of Hopfield Networks using Predictive Coding
E Ganjidoost, M Snow, J Orchard
arXiv preprint arXiv:2406.14723, 2024
2024
A Recurrent Dynamic Model for Efficient Bayesian Optimization*
PM Furlong, NSY Dumont, J Orchard
2024 Neuro Inspired Computational Elements Conference (NICE), 1-5, 2024
2024
Using Vector Symbolic Architectures for Distributed Action Representations in a Spiking Model of the Basal Ganglia
M Bartlett, M Furlong, TC Stewart, J Orchard
Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2023
2023
Hyperdimensional computing with spiking-phasor neurons
J Orchard, R Jarvis
Proceedings of the 2023 International Conference on Neuromorphic Systems, 1-7, 2023
52023
Exploiting semantic information in a spiking neural SLAM system
NSY Dumont, PM Furlong, J Orchard, C Eliasmith
Frontiers in Neuroscience 17, 1190515, 2023
72023
Improving reinforcement learning with biologically motivated continuous state representations
M Bartlett, K Simone, ND Dumont, M Furlong, C Eliasmith, J Orchard, ...
Proceedings of the 21st International Conference on Cognitive Modeling, 2023
32023
Value cores for inner and outer alignment: simulating personality formation via iterated policy selection and preference learning with self-world modeling active inference agents
A Safron, Z Sheikhbahaee, N Hay, J Orchard, J Hoey
International Workshop on Active Inference, 343-354, 2022
42022
Fast Online Reinforcement Learning with Biologically-Based State Representations
M Bartlett, TC Stewart, J Orchard
Proceedings of the 20th international conference on cognitive modeling, 2022
12022
Dream of Being: Solving AI Alignment Problems with Active Inference Models of Agency and Socioemotional Value Learning
A Safron, Z Sheikhbahaee, N Hay, J Orchard, J Hoey
12022
Biologically-based neural representations enable fast online shallow reinforcement learning
M Bartlett, TC Stewart, J Orchard
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
92022
Biological softmax: Demonstrated in modern Hopfield networks
MA Snow, J Orchard
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
52022
A model of path integration that connects neural and symbolic representation
NSY Dumont, J Orchard, C Eliasmith
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
102022
Deconvolutional Density Network: Free-Form Conditional Density Estimation.
B Chen, M Islam, L Wang, J Gao, J Orchard
CoRR, 2021
12021
A predictive-coding network that is both discriminative and generative
W Sun, J Orchard
Neural computation 32 (10), 1836-1862, 2020
92020
Biological batch normalisation: How intrinsic plasticity improves learning in deep neural networks
NP Shaw, T Jackson, J Orchard
Plos one 15 (9), e0238454, 2020
62020
Detecting leaks in water distribution pipes using a deep autoencoder and hydroacoustic spectrograms
RA Cody, BA Tolson, J Orchard
Journal of Computing in Civil Engineering 34 (2), 04020001, 2020
882020
Comparison of foveated downsampling techniques in image recognition
P Torabian, R Pradeep, J Orchard, B Tripp
Journal of Computational Vision and Imaging Systems 6 (1), 1-3, 2020
22020
Evolving generalized modulatory learning: Unifying neuromodulation and synaptic plasticity
L Wang, J Zheng, J Orchard
IEEE Transactions on Cognitive and Developmental Systems 12 (4), 797-808, 2019
92019
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Articles 1–20