Jeff Orchard

According to our database, Jeff Orchard authored at least 66 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Hyperdimensional Computing With Spiking Phasors.

Jeff Orchard, P. Michael Furlong, Kathryn Simone

Neural Comput., 2024

Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding.

Ehsan Ganjidoost, Jeff Orchard

CoRR, 2024

Online Training of Hopfield Networks using Predictive Coding.

Ehsan Ganjidoost, Mallory A. Snow, Jeff Orchard

CoRR, 2024

A Recurrent Dynamic Model for Efficient Bayesian Optimization^*.

P. Michael Furlong, Nicole Sandra-Yaffa Dumont, Jeff Orchard

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

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

P. Michael Furlong, Kathryn Simone, Nicole Sandra-Yaffa Dumont, Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard, Chris Eliasmith

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Hyperdimensional Computing with Spiking-Phasor Neurons.

Jeff Orchard, Russell Jarvis

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agents.

Adam Safron, Zahra Sheikhbahaee, Nick J. Hay, Jeff Orchard, Jesse Hoey

Proceedings of the Active Inference - Third International Workshop, 2022

Biological Softmax: Demonstrated in Modern Hopfield Networks.

Mallory A. Snow, Jeff Orchard

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

A model of path integration that connects neural and symbolic representation.

Nicole Sandra-Yaffa Dumont, Jeff Orchard, Chris Eliasmith

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Biologically-Based Neural Representations Enable Fast Online Shallow Reinforcement Learning.

Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Deconvolutional Density Network: Free-Form Conditional Density Estimation.

Bing Chen, Mazharul Islam, Lin Wang, Jisuo Gao, Jeff Orchard

CoRR, 2021

2020

Evolving Generalized Modulatory Learning: Unifying Neuromodulation and Synaptic Plasticity.

Lin Wang, Junteng Zheng, Jeff Orchard

IEEE Trans. Cogn. Dev. Syst., 2020

A Predictive-Coding Network That Is Both Discriminative and Generative.

Wei Sun, Jeff Orchard

Neural Comput., 2020

Detecting Leaks in Water Distribution Pipes Using a Deep Autoencoder and Hydroacoustic Spectrograms.

Roya Allison Cody, Bryan A. Tolson, Jeff Orchard

J. Comput. Civ. Eng., 2020

2019

Investigating the Evolution of a Neuroplasticity Network for Learning.

Lin Wang, Jeff Orchard

IEEE Trans. Syst. Man Cybern. Syst., 2019

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, Vasudevan Lakshminarayanan

J. Imaging, 2019

Making Predictive Coding Networks Generative.

Jeff Orchard, Wei Sun

CoRR, 2019

A Novel Continuous Representation of Genetic Programmings using Recurrent Neural Networks for Symbolic Regression.

Aftab Anjum, Fengyang Sun, Lin Wang, Jeff Orchard

CoRR, 2019

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

Aftab Anjum, Fengyang Sun, Lin Wang, Jeff Orchard

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Symmetric Predictive Estimator for Biologically Plausible Neural Learning.

David Xu, Andrew Clappison, Cameron Seth, Jeff Orchard

IEEE Trans. Neural Networks Learn. Syst., 2018

Style Memory: Making a Classifier Network Generative.

Rey Wiyatno, Jeff Orchard

Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

2017

Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning.

Lin Wang, Bo Yang, Yuehui Chen, Xiaoqian Zhang, Jeff Orchard

IEEE Trans. Neural Networks Learn. Syst., 2017

Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation.

Eric Hunsberger, Victor Reyes Osorio, Jeff Orchard, Bryan P. Tripp

IEEE Access, 2017

Segmentation and feature extraction of retinal vascular morphology.

Henry A. Leopold, Jeff Orchard, John S. Zelek, Vasudevan Lakshminarayanan

Proceedings of the Medical Imaging 2017: Image Processing, 2017

Using Flexible Neural Trees to Seed Backpropagation.

Peng Wu, Jeff Orchard

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Combating Adversarial Inputs Using a Predictive-Estimator Network.

Jeff Orchard, Louis Castricato

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Particle swarm optimization using dynamic tournament topology.

Lin Wang, Bo Yang, Jeff Orchard

Appl. Soft Comput., 2016

Improving gene expression programming using diversity preservation tournament and its application in grid cell modeling.

Lin Wang, Jeff Orchard, Bo Yang, Ajith Abraham

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

The evolution of a generalized neural learning rule.

Jeff Orchard, Lin Wang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Discovering grid-cell models through evolutionary computation.

Lin Wang, Bo Yang, Jeff Orchard

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Oscillator-Interference Models of Path Integration Do Not Require Theta Oscillations.

Jeff Orchard

Neural Comput., 2015

2013

Does the Entorhinal Cortex use the Fourier Transform?

Jeff Orchard, Hao Yang, Xiang Ji

Frontiers Comput. Neurosci., 2013

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

Jeff Orchard, Hao Yang, Xiang Ji

Proceedings of the Advances in Artificial Intelligence, 2013

Sensory Updates to Combat Path-Integration Drift.

Xiang Ji, Shrinu Kushagra, Jeff Orchard

Proceedings of the Advances in Artificial Intelligence, 2013

2012

Population coding in sparsely connected networks of noisy neurons.

Bryan P. Tripp, Jeff Orchard

Frontiers Comput. Neurosci., 2012

2010

Registering a MultiSensor Ensemble of Images.

Jeff Orchard, Richard Mann

IEEE Trans. Image Process., 2010

2009

Robust Multimodal Registration Using Local Phase-Coherence Representations.

Alexander Wong, Jeff Orchard

J. Signal Process. Syst., 2009

Fast Discrete Orthonormal Stockwell Transform.

Yanwei Wang, Jeff Orchard

SIAM J. Sci. Comput., 2009

On the use of the Stockwell transform for image compression.

Yanwei Wang, Jeff Orchard

Proceedings of the Image Processing: Algorithms and Systems VII, 2009

Ensemble registration: aligning many multi-sensor images simultaneously.

Jeff Orchard, Laure Jonchery

Proceedings of the Image Processing: Algorithms and Systems VII, 2009

The discrete orthonormal Stockwell transform for image restoration.

Yanwei Wang, Jeff Orchard

Proceedings of the International Conference on Image Processing, 2009

2008

Efficient FFT-Accelerated Approach to Invariant Optical-LIDAR Registration.

Alexander Wong, Jeff Orchard

IEEE Trans. Geosci. Remote. Sens., 2008

Multimodal image registration using floating regressors in the joint intensity scatter plot.

Jeff Orchard

Medical Image Anal., 2008

Cut-out image mosaics.

Jeff Orchard, Craig S. Kaplan

Proceedings of the 6th International Symposium on Non-Photorealistic Animation and Rendering, 2008

Toward a Flexible and Portable CT Scanner.

Jeff Orchard, John T. W. Yeow

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A nonlocal-means approach to exemplar-based inpainting.

Alexander Wong, Jeff Orchard

Proceedings of the International Conference on Image Processing, 2008

Efficient nonlocal-means denoising using the SVD.

Jeff Orchard, Mehran Ebrahimi, Alexander Wong

Proceedings of the International Conference on Image Processing, 2008

MRI reconstruction using real-time motion tracking: A simulation study.

Jeff Orchard, Robert Staruch

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007

Efficient Least Squares Multimodal Registration With a Globally Exhaustive Alignment Search.

Jeff Orchard

IEEE Trans. Image Process., 2007

Autocorrecting Reconstruction for Flexible Ct Scanners.

Jeff Orchard, Alexei Ramotar

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Globally Optimal Multimodal Rigid Registration: An Analytic Solution using Edge Information.

Jeff Orchard

Proceedings of the International Conference on Image Processing, 2007

Intuitive Interface for the Exploration of Volumetric Datasets.

Rahul Sarkar, Chrishnika de Almeida, Noureen Syed, Sheliza Jamal, Jeff Orchard

Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007

2006

Efficient and Robust Non-Rigid Least-Squares Rectification of Medical Images.

Alexander Wong, Jeff Orchard

Proceedings of the 2006 International Conference on Image Processing, 2006

Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps.

Alexander Wong, William D. Bishop, Jeff Orchard

Proceedings of the 2006 International Conference on Image Processing, 2006

General Geometry CT Reconstruction.

Alexei Ramotar, Jeff Orchard

Proceedings of the 2006 International Conference on Image Processing, 2006

Efficient Multimodal Registration Using Least-Squares.

Maja Omanovic, Jeff Orchard

Proceedings of the 2006 International Conference on Image Processing, 2006

2005

Image Deformation Using Velocity Fields: An Exact Solution.

Jeff Orchard

Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Efficient Global Weighted Least-Squares Translation Registration in the Frequency Domain.

Jeff Orchard

Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

2004

Reducing Activation-Related Bias in FMRI Registration.

Luis Freire, Jeff Orchard, Mark Jenkinson, Jean-François Mangin

Proceedings of the Medical Imaging and Augmented Reality: Second International Workshop, 2004

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

Jeff Orchard, M. Stella Atkins

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003

Simultaneous Registration and Activation Detection for fMRI.

Jeff Orchard, Chen Greif, Gene H. Golub, Bruce Bjornson, M. Stella Atkins

IEEE Trans. Medical Imaging, 2003

Overcoming activation-induced registration errors in fMRI.

Jeffery J. Orchard, Chen Greif, Gene H. Golub, Bruce Bjornson, M. Stella Atkins

Proceedings of the Medical Imaging 2003: Image Processing, 2003

Iterating Registration and Activation Detection to Overcome Activation Bias in fMRI Motion Estimates.

Jeff Orchard, M. Stella Atkins

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2002

Difficulties of T1 brain MRI segmentation techniques.

M. Stella Atkins, Kevin Siu, Benjamin Law, Jeffery J. Orchard, Wilfred L. Rosenbaum

Proceedings of the Medical Imaging 2002: Image Processing, 2002

Robustness of the brain parenchymal fraction for measuring brain atrophy.

M. Stella Atkins, Jeffery J. Orchard, Benjamin Law, Melanie K. Tory

Proceedings of the Medical Imaging 2002: Image Processing, 2002

2001

Accelerated Splatting using a 3D Adjacency Data Structure.

Jeff Orchard, Torsten Möller

Proceedings of the Graphics Interface 2001 Conference, 2001