Bryan Tripp
Bryan Tripp
Verified email at uwaterloo.ca - Homepage
TitleCited byYear
Python scripting in the Nengo simulator
TC Stewart, B Tripp, C Eliasmith
Frontiers in neuroinformatics 3, 7, 2009
532009
Population models of temporal differentiation
BP Tripp, C Eliasmith
Neural computation 22 (3), 621-659, 2010
322010
Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing
B Tripp, C Eliasmith
Cerebral Cortex 17 (8), 1830-1840, 2007
182007
Online mutability of step direction during rapid stepping reactions evoked by postural perturbation
BP Tripp, WE McIlroy, BE Maki
IEEE Transactions on neural systems and rehabilitation engineering 12 (1 …, 2004
182004
Decorrelation of spiking variability and improved information transfer through feedforward divisive normalization
BP Tripp
Neural computation 24 (4), 867-894, 2012
142012
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks
BP Tripp
2017 International Joint Conference on Neural Networks (IJCNN), 3551-3560, 2017
122017
A search for principles of basal ganglia function
B Tripp
University of Waterloo, 2009
102009
Real-time FPGA simulation of surrogate models of large spiking networks
M Berzish, C Eliasmith, B Tripp
International Conference on Artificial Neural Networks, 349-356, 2016
72016
G3DB: A database of successful and failed grasps with RGB-D images, point clouds, mesh models and gripper parameters
A Kleinhans, BS Rosman, M Michalik, B Tripp, R Detry
ICRA 2015, 2015
72015
Live demo: Spiking ratslam: Rat hippocampus cells in spiking neural hardware
F Galluppi, J Conradt, T Stewart, C Eliasmith, T Horiuchi, J Tapson, ...
2012 IEEE Biomedical Circuits and Systems Conference (BioCAS), 91-91, 2012
72012
A deeper understanding of the brain.
B Tripp
NeuroImage 180 (Pt A), 114, 2018
62018
Function approximation in inhibitory networks
B Tripp, C Eliasmith
Neural Networks 77, 95-106, 2016
62016
Design of a saccading and accommodating robot vision system
S Huber, B Selby, BP Tripp
2016 13th Conference on Computer and Robot Vision (CRV), 350-357, 2016
42016
Modeling the shape hierarchy for visually guided grasping
O Rezai, A Kleinhans, E Matallanas, B Selby, BP Tripp
Frontiers in computational neuroscience 8, 132, 2014
42014
Approximating the architecture of visual cortex in a convolutional network
B Tripp
Neural computation 31 (8), 1551-1591, 2019
32019
Surrogate population models for large-scale neural simulations
BP Tripp
Neural computation 27 (6), 1186-1222, 2015
32015
A digital hardware design for real-time simulation of large neural-system models in physical settings
M Berzish, B Tripp
BMC neuroscience 15 (S1), P21, 2014
32014
A video-driven model of response statistics in the primate middle temporal area
O Rezai, PB Jentsch, B Tripp
Neural Networks 108, 424-444, 2018
22018
Convolutional Neural Networks Regularized by Correlated Noise
S Dutta, B Tripp, GW Taylor
2018 15th Conference on Computer and Robot Vision (CRV), 375-382, 2018
22018
A scaleable spiking neural model of action planning
P Blouw, C Eliasmith, B Tripp
Proceedings of the 38th Annual Conference of the Cognitive Science Society …, 2016
22016
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Articles 1–20