Getting data out of the electronic patient record: critical steps in building a data warehouse for decision support. - A. Ebidia; Carol Mulder; Bryan P. Tripp; Matthew W. Morgan (AMIA, 1999)

Clinical Computing: Enriching the Canopy. - Bryan P. Tripp; Matthew W. Morgan (AMIA, 2000)

Design of an Adapter to Support XML Queries Against Existing Pharmacy Systems. - Bryan P. Tripp; Abraham Tio (MedInfo, 2001)

Python scripting in the Nengo simulator. - Terrence C. Stewart; Bryan P. Tripp; Chris Eliasmith (Frontiers Neuroinformatics, 2009)

Population Models of Temporal Differentiation. - Bryan P. Tripp; Chris Eliasmith (Neural Comput., 2010)

Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware. - Francesco Galluppi; Jörg Conradt; Terrence C. Stewart; Chris Eliasmith; Timothy K. Horiuchi; Jonathan Tapson; Bryan P. Tripp; Steve B. Furber; Ralph Etienne-Cummings (BioCAS, 2012)

Population coding in sparsely connected networks of noisy neurons. - Bryan P. Tripp; Jeff Orchard (Frontiers Comput. Neurosci., 2012)

Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization. - Bryan P. Tripp (Neural Comput., 2012)

Modelling Primate Control of Grasping for Robotics Applications. - Ashley Kleinhans; Serge Thill; Benjamin Rosman; Renaud Detry; Bryan P. Tripp (ECCV Workshops (2), 2014)

Modeling the shape hierarchy for visually guided grasping. - Omid Rezai; Ashley Kleinhans; Eduardo Matallanas; Ben Selby; Bryan P. Tripp (Frontiers Comput. Neurosci., 2014)

Surrogate Population Models for Large-Scale Neural Simulations. - Bryan P. Tripp (Neural Comput., 2015)

A scaleable spiking neural model of action planning. - Peter Blouw; Chris Eliasmith; Bryan P. Tripp (CogSci, 2016)

Design of a Saccading and Accommodating Robot Vision System. - Scott Huber; Ben Selby; Bryan P. Tripp (CRV, 2016)

Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. - Murphy Berzish; Chris Eliasmith; Bryan P. Tripp (ICANN (1), 2016)

How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System? - Sugandha Sharma; Bryan P. Tripp (ICANN (1), 2016)

A Convolutional Network Model of the Primate Middle Temporal Area. - Bryan P. Tripp (ICANN (2), 2016)

Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights. - Wilten Nicola; Bryan P. Tripp; Matthew Scott 001 (Frontiers Comput. Neurosci., 2016)

Function approximation in inhibitory networks. - Bryan P. Tripp; Chris Eliasmith (Neural Networks, 2016)

Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks. - Bryan P. Tripp (IJCNN, 2017)

Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. - Eric Hunsberger; Victor Reyes Osorio; Jeff Orchard; Bryan P. Tripp (IEEE Access, 2017)

Optimization and Rapid Prototyping of Catadioptric Omnidirectional Stereo Sensors. - Bryan P. Tripp; Sanjay Singh; Ben Selby (J. Intell. Robotic Syst., 2017)

An empirical model of activity in macaque inferior temporal cortex. - Salman Khan 003; Bryan P. Tripp (Neural Networks, 2017)

Extending the Stabilized Supralinear Network model for binocular image processing. - Ben Selby; Bryan P. Tripp (Neural Networks, 2017)

Convolutional Neural Networks Regularized by Correlated Noise. - Shamak Dutta; Bryan P. Tripp; Graham W. Taylor (CRV, 2018)

A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations. - Rajan Iyengar; Victor Reyes Osorio; Presish Bhattachan; Adrian Ragobar; Bryan P. Tripp (CoRR, 2018)

A deeper understanding of the brain. - Bryan P. Tripp (NeuroImage, 2018)

A video-driven model of response statistics in the primate middle temporal area. - Omid Rezai; Pinar Boyraz Jentsch; Bryan P. Tripp (Neural Networks, 2018)

OREO: An Open-Hardware Robotic Head That Supports Practical Saccades and Accommodation. - Scott Huber; Ben Selby; Bryan P. Tripp (IEEE Robotics Autom. Lett., 2018)

Figure-ground representation in deep neural networks. - Brian Hu 001; Salman Khan 003; Ernst Niebur; Bryan P. Tripp (CISS, 2019)

Approximating the Architecture of Visual Cortex in a Convolutional Network. - Bryan P. Tripp (Neural Comput., 2019)

Active Perception and Representation for Robotic Manipulation. - Youssef Zaky; Gaurav Paruthi; Bryan P. Tripp; James Bergstra (CoRR, 2020)

Identifying and interpreting tuning dimensions in deep networks. - Nolan S. Dey; J. Eric Taylor; Bryan P. Tripp; Alexander Wong; Graham W. Taylor (CoRR, 2020)

How are response properties in the middle temporal area related to inference on visual motion patterns? - Omid Rezai; Lucas Stoffl; Bryan P. Tripp (Neural Networks, 2020)

37, 000 Human-Planned Robotic Grasps With Six Degrees of Freedom. - Victor Reyes Osorio; Rajan Iyengar; Xueyang Yao; Presish Bhattachan; Adrian Ragobar; Nolan Dey; Bryan P. Tripp (IEEE Robotics Autom. Lett., 2020)

Driving Scene Understanding: How much temporal context and spatial resolution is necessary? - Ramashish Gaurav; Bryan P. Tripp; Apurva Narayan (Canadian AI, 2021)

Spiking Approximations of the MaxPooling Operation in Deep SNNs. - Ramashish Gaurav; Bryan P. Tripp; Apurva Narayan (IJCNN, 2022)

MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex. - Jianghong Shi; Bryan P. Tripp; Eric Shea-Brown; Stefan Mihalas; Michael A. Buice (PLoS Comput. Biol., 2022)

Utilization of Non-verbal Behaviour and Social Gaze in Classroom Human-Robot Interaction Communications. - Sahand Shaghaghi; Pourya Aliasghari; Bryan P. Tripp; Kerstin Dautenhahn; Chrystopher L. Nehaniv (CoRR, 2023)

Towards an Interaction Architecture for the iCub Robot: Social Gaze Space Model Adaptation for Social Interaction. - Sahand Shaghaghi; Pourya Aliasghari; Bryan P. Tripp; Britt Anderson; Kerstin Dautenhahn; Chrystopher L. Nehaniv (Humanoids, 2024)

Encoding Medical Ontologies With Holographic Reduced Representations for Transformers. - Bing Hu; Trevor Yu; Tia Tuinstra; Ryan Rezai; Harshit Bokadia; Rachel DiMaio; Thomas Fortin; Brian Vartian; Bryan P. Tripp (KiL@KDD, 2024)

Modeling the Role of Contour Integration in Visual Inference. - Salman Khan; Alexander Wong; Bryan P. Tripp (Neural Comput., 2024)

Improved Generalization of Probabilistic Movement Primitives for Manipulation Trajectories. - Xueyang Yao; Yinghan Chen; Bryan P. Tripp (IEEE Robotics Autom. Lett., 2024)

Deep networks for few-shot manipulation learning from scratch. - Yinghan Chen; Xueyang Yao; Bryan P. Tripp (Robotics Auton. Syst., 2025)

Neuron-based explanations of neural networks sacrifice completeness and interpretability. - Nolan Simran Dey; J. Eric Taylor; Alexander Wong; Bryan P. Tripp; Graham W. Taylor (Trans. Mach. Learn. Res., 2025)