Bryan P. Tripp

49 papers B 3Misc 3Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FHIRPath-QA: Executable Question Answering over FHIR Electronic Health Records. CoRR Michael Frew, Nishit Bheda, Bryan P. Tripp
2026	J	`jnl`	The Impact of Robot Role and Personality on Participants' Perception of the Robot in a Human-Robot Teaching Task. ACM Trans. Hum. Robot Interact. Sahand Shaghaghi, Pourya Aliasghari, Bryan P. Tripp, Kerstin Dautenhahn, Chrystopher L. Nehaniv
2025	J	`jnl`	Deep networks for few-shot manipulation learning from scratch. Robotics Auton. Syst. Yinghan Chen, Xueyang Yao, Bryan P. Tripp
2025	J	`jnl`	FocalVid: A Platform for Tracking Visual Attention to Video via Crowdsourcing Validated Against Human Gaze Data. IEEE Access Sahand Shaghaghi, Karissa B. Payne, Bryan P. Tripp, Kerstin Dautenhahn, Chrystopher L. Nehaniv
2025	J	`jnl`	Neuron-based explanations of neural networks sacrifice completeness and interpretability. Trans. Mach. Learn. Res. Nolan Simran Dey, J. Eric Taylor, Alexander Wong, Bryan P. Tripp, Graham W. Taylor
2024	—	`conf`	Encoding Medical Ontologies With Holographic Reduced Representations for Transformers. KiL@KDD Bing Hu, Trevor Yu, Tia Tuinstra, Ryan Rezai, Harshit Bokadia, Rachel DiMaio, Thomas Fortin, Brian Vartian, Bryan P. Tripp
2024	J	`jnl`	Improved Generalization of Probabilistic Movement Primitives for Manipulation Trajectories. IEEE Robotics Autom. Lett. Xueyang Yao, Yinghan Chen, Bryan P. Tripp
2024	J	`jnl`	Modeling the Role of Contour Integration in Visual Inference. Neural Comput. Salman Khan, Alexander Wong, Bryan P. Tripp
2024	—	`conf`	Towards an Interaction Architecture for the iCub Robot: Social Gaze Space Model Adaptation for Social Interaction. Humanoids Sahand Shaghaghi, Pourya Aliasghari, Bryan P. Tripp, Britt Anderson, Kerstin Dautenhahn, Chrystopher L. Nehaniv
2023	J	`jnl`	Utilization of Non-verbal Behaviour and Social Gaze in Classroom Human-Robot Interaction Communications. CoRR Sahand Shaghaghi, Pourya Aliasghari, Bryan P. Tripp, Kerstin Dautenhahn, Chrystopher L. Nehaniv
2022	J	`jnl`	MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex. PLoS Comput. Biol. Jianghong Shi, Bryan P. Tripp, Eric Shea-Brown, Stefan Mihalas, Michael A. Buice
2022	B	`conf`	Spiking Approximations of the MaxPooling Operation in Deep SNNs. IJCNN Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2022	J	`jnl`	Spiking Approximations of the MaxPooling Operation in Deep SNNs. CoRR Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2021	—	`conf`	Driving Scene Understanding: How much temporal context and spatial resolution is necessary? Canadian AI Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2020	J	`jnl`	37, 000 Human-Planned Robotic Grasps With Six Degrees of Freedom. IEEE Robotics Autom. Lett. Victor Reyes Osorio, Rajan Iyengar, Xueyang Yao, Presish Bhattachan, Adrian Ragobar, Nolan Dey, Bryan P. Tripp
2020	J	`jnl`	Active Perception and Representation for Robotic Manipulation. CoRR Youssef Zaky, Gaurav Paruthi, Bryan P. Tripp, James Bergstra
2020	J	`jnl`	How are response properties in the middle temporal area related to inference on visual motion patterns? Neural Networks Omid Rezai, Lucas Stoffl, Bryan P. Tripp
2020	J	`jnl`	Identifying and interpreting tuning dimensions in deep networks. CoRR Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor
2019	J	`jnl`	Approximating the Architecture of Visual Cortex in a Convolutional Network. Neural Comput. Bryan P. Tripp
2019	Misc	`conf`	Figure-ground representation in deep neural networks. CISS Brian Hu, Salman Khan, Ernst Niebur, Bryan P. Tripp
2018	J	`jnl`	A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations. CoRR Rajan Iyengar, Victor Reyes Osorio, Presish Bhattachan, Adrian Ragobar, Bryan P. Tripp
2018	J	`jnl`	A deeper understanding of the brain. NeuroImage Bryan P. Tripp
2018	J	`jnl`	A video-driven model of response statistics in the primate middle temporal area. Neural Networks Omid Rezai, Pinar Boyraz Jentsch, Bryan P. Tripp
2018	—	`conf`	Convolutional Neural Networks Regularized by Correlated Noise. CRV Shamak Dutta, Bryan P. Tripp, Graham W. Taylor
2018	J	`jnl`	Convolutional Neural Networks Regularized by Correlated Noise. CoRR Shamak Dutta, Bryan P. Tripp, Graham W. Taylor
2018	J	`jnl`	OREO: An Open-Hardware Robotic Head That Supports Practical Saccades and Accommodation. IEEE Robotics Autom. Lett. Scott Huber, Ben Selby, Bryan P. Tripp
2017	J	`jnl`	An empirical model of activity in macaque inferior temporal cortex. Neural Networks Salman Khan, Bryan P. Tripp
2017	J	`jnl`	Extending the Stabilized Supralinear Network model for binocular image processing. Neural Networks Ben Selby, Bryan P. Tripp
2017	J	`jnl`	Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. IEEE Access Eric Hunsberger, Victor Reyes Osorio, Jeff Orchard, Bryan P. Tripp
2017	J	`jnl`	Optimization and Rapid Prototyping of Catadioptric Omnidirectional Stereo Sensors. J. Intell. Robotic Syst. Bryan P. Tripp, Sanjay Singh, Ben Selby
2017	B	`conf`	Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks. IJCNN Bryan P. Tripp
2016	—	`conf`	A Convolutional Network Model of the Primate Middle Temporal Area. ICANN (2) Bryan P. Tripp
2016	B	`conf`	A scaleable spiking neural model of action planning. CogSci Peter Blouw, Chris Eliasmith, Bryan P. Tripp
2016	—	`conf`	Design of a Saccading and Accommodating Robot Vision System. CRV Scott Huber, Ben Selby, Bryan P. Tripp
2016	J	`jnl`	Function approximation in inhibitory networks. Neural Networks Bryan P. Tripp, Chris Eliasmith
2016	—	`conf`	How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System? ICANN (1) Sugandha Sharma, Bryan P. Tripp
2016	J	`jnl`	Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights. Frontiers Comput. Neurosci. Wilten Nicola, Bryan P. Tripp, Matthew Scott
2016	—	`conf`	Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. ICANN (1) Murphy Berzish, Chris Eliasmith, Bryan P. Tripp
2015	J	`jnl`	Surrogate Population Models for Large-Scale Neural Simulations. Neural Comput. Bryan P. Tripp
2014	J	`jnl`	Modeling the shape hierarchy for visually guided grasping. Frontiers Comput. Neurosci. Omid Rezai, Ashley Kleinhans, Eduardo Matallanas, Ben Selby, Bryan P. Tripp
2014	—	`conf`	Modelling Primate Control of Grasping for Robotics Applications. ECCV Workshops (2) Ashley Kleinhans, Serge Thill, Benjamin Rosman, Renaud Detry, Bryan P. Tripp
2012	J	`jnl`	Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization. Neural Comput. Bryan P. Tripp
2012	—	`conf`	Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware. BioCAS Francesco Galluppi, Jörg Conradt, Terrence C. Stewart, Chris Eliasmith, Timothy K. Horiuchi, Jonathan Tapson, Bryan P. Tripp, Steve B. Furber, Ralph Etienne-Cummings
2012	J	`jnl`	Population coding in sparsely connected networks of noisy neurons. Frontiers Comput. Neurosci. Bryan P. Tripp, Jeff Orchard
2010	J	`jnl`	Population Models of Temporal Differentiation. Neural Comput. Bryan P. Tripp, Chris Eliasmith
2009	J	`jnl`	Python scripting in the Nengo simulator. Frontiers Neuroinformatics Terrence C. Stewart, Bryan P. Tripp, Chris Eliasmith
2001	—	`conf`	Design of an Adapter to Support XML Queries Against Existing Pharmacy Systems. MedInfo Bryan P. Tripp, Abraham Tio
2000	Misc	`conf`	Clinical Computing: Enriching the Canopy. AMIA Bryan P. Tripp, Matthew W. Morgan
1999	Misc	`conf`	Getting data out of the electronic patient record: critical steps in building a data warehouse for decision support. AMIA A. Ebidia, Carol Mulder, Bryan P. Tripp, Matthew W. Morgan