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Journal Articles
- 2024
[j21]Salman Khan, Alexander Wong, Bryan P. Tripp
:
Modeling the Role of Contour Integration in Visual Inference. Neural Comput. 36(1): 33-74 (2024)- [j20]Xueyang Yao, Yinghan Chen, Bryan P. Tripp:
Improved Generalization of Probabilistic Movement Primitives for Manipulation Trajectories. IEEE Robotics Autom. Lett. 9(1): 287-294 (2024) - 2022
- [j19]Jianghong Shi, Bryan P. Tripp, Eric Shea-Brown, Stefan Mihalas, Michael A. Buice:
MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex. PLoS Comput. Biol. 18(9): 1010427 (2022) - 2020
- [j18]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: 122-131 (2020) - [j17]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): 3346-3351 (2020) - 2019
- [j16]Bryan P. Tripp:
Approximating the Architecture of Visual Cortex in a Convolutional Network. Neural Comput. 31(8): 1551-1591 (2019) - 2018
- [j15]Bryan P. Tripp:
A deeper understanding of the brain. NeuroImage 180(Part): 114-116 (2018) - [j14]Omid Rezai, Pinar Boyraz Jentsch, Bryan P. Tripp:
A video-driven model of response statistics in the primate middle temporal area. Neural Networks 108: 424-444 (2018) - [j13]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): 2640-2645 (2018) - 2017
- [j12]Eric Hunsberger, Victor Reyes Osorio, Jeff Orchard, Bryan P. Tripp:
Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. IEEE Access 5: 11645-11657 (2017) - [j11]Bryan P. Tripp, Sanjay Singh, Ben Selby:
Optimization and Rapid Prototyping of Catadioptric Omnidirectional Stereo Sensors. J. Intell. Robotic Syst. 86(3-4): 467-483 (2017) - [j10]Salman Khan, Bryan P. Tripp:
An empirical model of activity in macaque inferior temporal cortex. Neural Networks 87: 8-21 (2017) - [j9]Ben Selby, Bryan P. Tripp:
Extending the Stabilized Supralinear Network model for binocular image processing. Neural Networks 90: 29-41 (2017) - 2016
- [j8]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: 15 (2016) - [j7]Bryan P. Tripp, Chris Eliasmith:
Function approximation in inhibitory networks. Neural Networks 77: 95-106 (2016) - 2015
- [j6]Bryan P. Tripp:
Surrogate Population Models for Large-Scale Neural Simulations. Neural Comput. 27(6): 1186-1222 (2015) - 2014
- [j5]Omid Rezai, Ashley Kleinhans, Eduardo Matallanas, Ben Selby, Bryan P. Tripp:
Modeling the shape hierarchy for visually guided grasping. Frontiers Comput. Neurosci. 8: 132 (2014) - 2012
- [j4]Bryan P. Tripp, Jeff Orchard:
Population coding in sparsely connected networks of noisy neurons. Frontiers Comput. Neurosci. 6: 23 (2012) - [j3]Bryan P. Tripp:
Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization. Neural Comput. 24(4): 867-894 (2012) - 2010
- [j2]Bryan P. Tripp, Chris Eliasmith:
Population Models of Temporal Differentiation. Neural Comput. 22(3): 621-659 (2010) - 2009
- [j1]Terrence C. Stewart, Bryan P. Tripp, Chris Eliasmith:
Python scripting in the Nengo simulator. Frontiers Neuroinformatics 3: 7 (2009)
Conference and Workshop Papers
- 2022
- [c15]Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan:
Spiking Approximations of the MaxPooling Operation in Deep SNNs. IJCNN 2022: 1-8 - 2021
- [c14]Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan:
Driving Scene Understanding: How much temporal context and spatial resolution is necessary? Canadian AI 2021 - 2019
- [c13]Brian Hu, Salman Khan, Ernst Niebur, Bryan P. Tripp:
Figure-ground representation in deep neural networks. CISS 2019: 1-6 - 2018
- [c12]Shamak Dutta, Bryan P. Tripp, Graham W. Taylor:
Convolutional Neural Networks Regularized by Correlated Noise. CRV 2018: 375-382 - 2017
- [c11]Bryan P. Tripp:
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks. IJCNN 2017: 3551-3560 - 2016
- [c10]Peter Blouw, Chris Eliasmith, Bryan P. Tripp:
A scaleable spiking neural model of action planning. CogSci 2016 - [c9]Scott Huber, Ben Selby, Bryan P. Tripp:
Design of a Saccading and Accommodating Robot Vision System. CRV 2016: 350-357 - [c8]Bryan P. Tripp:
A Convolutional Network Model of the Primate Middle Temporal Area. ICANN (2) 2016: 97-104 - [c7]Sugandha Sharma, Bryan P. Tripp:
How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System? ICANN (1) 2016: 280-287 - [c6]Murphy Berzish, Chris Eliasmith, Bryan P. Tripp:
Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. ICANN (1) 2016: 349-356 - 2014
- [c5]Ashley Kleinhans, Serge Thill, Benjamin Rosman, Renaud Detry, Bryan P. Tripp:
Modelling Primate Control of Grasping for Robotics Applications. ECCV Workshops (2) 2014: 438-447 - 2012
- [c4]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: 91 - 2001
- [c3]Bryan P. Tripp, Abraham Tio:
Design of an Adapter to Support XML Queries Against Existing Pharmacy Systems. MedInfo 2001: 710 - 2000
- [c2]Bryan P. Tripp, Matthew W. Morgan:
Clinical Computing: Enriching the Canopy. AMIA 2000 - 1999
- [c1]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
Informal and Other Publications
- 2023
- [i6]Sahand Shaghaghi, Pourya Aliasghari, Bryan P. Tripp, Kerstin Dautenhahn, Chrystopher L. Nehaniv:
Utilization of Non-verbal Behaviour and Social Gaze in Classroom Human-Robot Interaction Communications. CoRR abs/2312.06825 (2023) - 2022
- [i5]Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan:
Spiking Approximations of the MaxPooling Operation in Deep SNNs. CoRR abs/2205.07076 (2022) - 2020
- [i4]Youssef Zaky, Gaurav Paruthi, Bryan P. Tripp, James Bergstra:
Active Perception and Representation for Robotic Manipulation. CoRR abs/2003.06734 (2020) - [i3]Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor:
Identifying and interpreting tuning dimensions in deep networks. CoRR abs/2011.03043 (2020) - 2018
- [i2]Shamak Dutta, Bryan P. Tripp, Graham W. Taylor:
Convolutional Neural Networks Regularized by Correlated Noise. CoRR abs/1804.00815 (2018) - [i1]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 abs/1812.11683 (2018)
Coauthor Index
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last updated on 2024-06-10 21:27 CEST by the dblp team
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