Bryan P. Tripp

发表

Figure-ground representation in deep neural networks

Salman Khan, Ernst Niebur, Brian Hu, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

Surrogate Population Models for Large-Scale Neural Simulations

Bryan P. Tripp, 2015, Neural Computation.

Population coding in sparsely connected networks of noisy neurons

Jeff Orchard, Bryan P. Tripp, Jeff Orchard, 2012, Front. Comput. Neurosci..

A scaleable spiking neural model of action planning

Peter Blouw, Chris Eliasmith, Bryan P. Tripp, 2016, CogSci.

G3DB: A database of successful and failed grasps with RGB-D images, point clouds, mesh models and gripper parameters

Benjamin Rosman, Renaud Detry, Ashley Kleinhans, 2015 .

Bryan P. Tripp, B. Tripp, 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

Modeling the shape hierarchy for visually guided grasping

Eduardo Matallanas, Ashley Kleinhans, Bryan P. Tripp, 2014, Front. Comput. Neurosci..

How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System?

Sugandha Sharma, Bryan P. Tripp, B. Tripp, 2016, ICANN.

Function approximation in inhibitory networks

Chris Eliasmith, Bryan P. Tripp, C. Eliasmith, 2016, Neural Networks.

Design of a Saccading and Accommodating Robot Vision System

Bryan P. Tripp, Ben Selby, Scott Huber, 2016, 2016 13th Conference on Computer and Robot Vision (CRV).

A dataset of 40K naturalistic 6-degree-of-freedom robotic grasp demonstrations pdf

Presish Bhattachan, Bryan P. Tripp, Rajan Iyengar, 2018, ArXiv.

Identifying and interpreting tuning dimensions in deep networks pdf

Graham W. Taylor, Alexander Wong, Bryan P. Tripp, 2020, ArXiv.

A Search For Principles of Basal Ganglia Function

Bryan P. Tripp, B. Tripp, 2009 .

An empirical model of activity in macaque inferior temporal cortex

Salman Khan, Bryan P. Tripp, B. Tripp, 2017, Neural Networks.

Modelling Primate Control of Grasping for Robotics Applications

Benjamin Rosman, Serge Thill, Renaud Detry, 2014, ECCV Workshops.

Spiking ratSLAM: Modelling Rat Hippocampus Place, Grid and Border Cells in Spiking Neural Hardware (Demo)

Ralph Etienne-Cummings, Steve Furber, Jörg Conradt, 2012 .

Population Models of Temporal Differentiation

Chris Eliasmith, Bryan P. Tripp, C. Eliasmith, 2010, Neural Computation.

Optimization and Rapid Prototyping of Catadioptric Omnidirectional Stereo Sensors

Sanjay Singh, Bryan P. Tripp, Ben Selby, 2017, J. Intell. Robotic Syst..

Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation

Jeff Orchard, Bryan P. Tripp, Eric Hunsberger, 2017, IEEE Access.

Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization

Bryan P. Tripp, B. Tripp, 2012, Neural Computation.

A video-driven model of response statistics in the primate middle temporal area

Bryan P. Tripp, Omid Rezai, Pinar Boyraz Jentsch, 2018, Neural Networks.

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, 2016, Front. Comput. Neurosci..

Python Scripting in the Nengo Simulator

Terrence C. Stewart, Chris Eliasmith, Bryan P. Tripp, 2008, Front. Neuroinform..

A Convolutional Network Model of the Primate Middle Temporal Area

Bryan P. Tripp, B. Tripp, 2016, ICANN.

Guarding Against Adversarial Attacks using Biologically Inspired Contour Integration

Alexander Wong, Salman Khan, Bryan P. Tripp, 2018 .

Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks

Chris Eliasmith, Bryan P. Tripp, Murphy Berzish, 2016, ICANN.

Extending the Stabilized Supralinear Network model for binocular image processing

Bryan P. Tripp, Ben Selby, B. Tripp, 2017, Neural Networks.