Bryan P. Tripp

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 26

Top Topics

Convolutional Network

Disparity Estimation

Top Venues

Neural Networks

IEEE Robotics Autom. Lett.

Publications

Salman Khan, Alexander Wong, Bryan P. Tripp
Modeling the Role of Contour Integration in Visual Inference. Neural Comput. 36 (1) (2024)
Xueyang Yao, Yinghan Chen, Bryan P. Tripp
Improved Generalization of Probabilistic Movement Primitives for Manipulation Trajectories. IEEE Robotics Autom. Lett. 9 (1) (2024)
Omid Rezai, Lucas Stoffl, Bryan P. Tripp
How are response properties in the middle temporal area related to inference on visual motion patterns? Neural Networks 121 (2020)
Victor Reyes Osorio, Rajan Iyengar, Xueyang Yao, Presish Bhattachan, Adrian Ragobar, Nolan Dey, Bryan P. Tripp
37, 000 Human-Planned Robotic Grasps With Six Degrees of Freedom. IEEE Robotics Autom. Lett. 5 (2) (2020)
Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor
Identifying and interpreting tuning dimensions in deep networks. CoRR (2020)
Bryan P. Tripp
Approximating the Architecture of Visual Cortex in a Convolutional Network. Neural Comput. 31 (8) (2019)
Brian Hu, Salman Khan, Ernst Niebur, Bryan P. Tripp
Figure-ground representation in deep neural networks. CISS (2019)
Scott Huber, Ben Selby, Bryan P. Tripp
OREO: An Open-Hardware Robotic Head That Supports Practical Saccades and Accommodation. IEEE Robotics Autom. Lett. 3 (3) (2018)
Bryan P. Tripp
A deeper understanding of the brain. NeuroImage 180 (Part) (2018)
Omid Rezai, Pinar Boyraz Jentsch, Bryan P. Tripp
A video-driven model of response statistics in the primate middle temporal area. Neural Networks 108 (2018)
Rajan Iyengar, Victor Reyes Osorio, Presish Bhattachan, Adrian Ragobar, Bryan P. Tripp
A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations. CoRR (2018)
Shamak Dutta, Bryan P. Tripp, Graham W. Taylor
Convolutional Neural Networks Regularized by Correlated Noise. CoRR (2018)
Shamak Dutta, Bryan P. Tripp, Graham W. Taylor
Convolutional Neural Networks Regularized by Correlated Noise. CRV (2018)
Ben Selby, Bryan P. Tripp
Extending the Stabilized Supralinear Network model for binocular image processing. Neural Networks 90 (2017)
Eric Hunsberger, Victor Reyes Osorio, Jeff Orchard, Bryan P. Tripp
Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. IEEE Access 5 (2017)
Salman Khan, Bryan P. Tripp
An empirical model of activity in macaque inferior temporal cortex. Neural Networks 87 (2017)
Bryan P. Tripp
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks. IJCNN (2017)
Bryan P. Tripp, Sanjay Singh, Ben Selby
Optimization and Rapid Prototyping of Catadioptric Omnidirectional Stereo Sensors. J. Intell. Robotic Syst. 86 (3-4) (2017)
Bryan P. Tripp
A Convolutional Network Model of the Primate Middle Temporal Area. ICANN (2) (2016)
Wilten Nicola, Bryan P. Tripp, Matthew Scott
Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights. Frontiers Comput. Neurosci. 10 (2016)
Peter Blouw, Chris Eliasmith, Bryan P. Tripp
A scaleable spiking neural model of action planning. CogSci (2016)
Bryan P. Tripp, Chris Eliasmith
Function approximation in inhibitory networks. Neural Networks 77 (2016)
Scott Huber, Ben Selby, Bryan P. Tripp
Design of a Saccading and Accommodating Robot Vision System. CRV (2016)
Murphy Berzish, Chris Eliasmith, Bryan P. Tripp
Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. ICANN (1) (2016)
Sugandha Sharma, Bryan P. Tripp
How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System? ICANN (1) (2016)
Bryan P. Tripp
Surrogate Population Models for Large-Scale Neural Simulations. Neural Comput. 27 (6) (2015)
Ashley Kleinhans, Serge Thill, Benjamin Rosman, Renaud Detry, Bryan P. Tripp
Modelling Primate Control of Grasping for Robotics Applications. ECCV Workshops (2) (2014)
Omid Rezai, Ashley Kleinhans, Eduardo Matallanas, Ben Selby, Bryan P. Tripp
Modeling the shape hierarchy for visually guided grasping. Frontiers Comput. Neurosci. 8 (2014)
Francesco Galluppi, Jörg Conradt, Terrence C. Stewart, Chris Eliasmith, Timothy K. Horiuchi, Jonathan Tapson, Bryan P. Tripp, Steve B. Furber, Ralph Etienne-Cummings
Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware. BioCAS (2012)
Bryan P. Tripp, Jeff Orchard
Population coding in sparsely connected networks of noisy neurons. Frontiers Comput. Neurosci. 6 (2012)
Bryan P. Tripp
Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization. Neural Comput. 24 (4) (2012)
Bryan P. Tripp, Chris Eliasmith
Population Models of Temporal Differentiation. Neural Comput. 22 (3) (2010)
Terrence C. Stewart, Bryan P. Tripp, Chris Eliasmith
Python scripting in the Nengo simulator. Frontiers Neuroinformatics 3 (2009)
Bryan P. Tripp, Abraham Tio
Design of an Adapter to Support XML Queries Against Existing Pharmacy Systems. MedInfo (2001)
Bryan P. Tripp, Matthew W. Morgan
Clinical Computing: Enriching the Canopy. AMIA (2000)
A. Ebidia, Carol Mulder, Bryan P. Tripp, Matthew W. Morgan
Getting data out of the electronic patient record: critical steps in building a data warehouse for decision support. AMIA (1999)