B. Tripp

发表

Active Perception and Representation for Robotic Manipulation pdf

Bryan Tripp, James Bergstra, Gaurav Paruthi, 2020, ArXiv.

Online mutability of step direction during rapid stepping reactions evoked by postural perturbation

B. E. Maki, W. McIlroy, B. Maki, 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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..

CNN MouseNet: A biologically constrained convolutional neural network model for mouse visual cortex

Eric T. Shea-Brown, Stefan Mihalas, M. Buice, 2021, bioRxiv.

ON-LINE MUTABILITY OF STEP DIRECTION DURING RAPID STEPPING REACTIONS EVOKED BY POSTURAL PERTURBATION ( revised Aug 22 , 2003 )

B. E. Maki, W. McIlroy, B. Maki, 2003 .

FocalVid : Facilitating Remote Studies of Video Saliency

Chrystopher L. Nehaniv, Kerstin Dautenhahn, Bryan Tripp, 2020 .

MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex

Eric T. Shea-Brown, Stefan Mihalas, Jianghong Shi, 2022, PLoS Comput. Biol..

Modelling the role of contour integration in visual inference

B. Tripp, Salman Khan, Alexander Wong, 2022, bioRxiv.

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

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

A Search For Principles of Basal Ganglia Function

Bryan P. Tripp, B. Tripp, 2009 .

Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing.

Chris Eliasmith, Bryan Tripp, C. Eliasmith, 2007, Cerebral cortex.

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

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

Identifying and interpreting tuning dimensions in deep networks pdf

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

Figure-ground representation in deep neural networks

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

Extending the Stabilized Supralinear Network model for binocular image processing

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

A Convolutional Network Model of the Primate Middle Temporal Area

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

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).

Approximating the Architecture of Visual Cortex in a Convolutional Network

Bryan Tripp, B. Tripp, 2019, Neural Computation.

A Convolutional Network Architecture Driven by Mouse Neuroanatomical Data

Eric Shea-Brown, Stefan Mihalas, Jianghong Shi, 2020, bioRxiv.

Neuroinformatics Original Research Article Python Scripting in the Nengo Simulator

Terrence C. Stewart, Chris Eliasmith, Bryan P. Tripp, 2022 .

Investigating Therapies for Freezing of Gait Targeting the Cognitive, Limbic, and Sensorimotor Domains

Q. Almeida, B. Tripp, R. Chow, 2021, Neurorehabilitation and neural repair.

37,000 Human-Planned Robotic Grasps With Six Degrees of Freedom

Presish Bhattachan, Bryan Tripp, Xueyang Yao, 2020, IEEE Robotics and Automation Letters.

Population coding in sparsely connected networks of noisy neurons

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

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

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

Function approximation in inhibitory networks

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

Modeling the shape hierarchy for visually guided grasping

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

Modelling Primate Control of Grasping for Robotics Applications

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

An empirical model of activity in macaque inferior temporal cortex

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

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

Population Models of Temporal Differentiation

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

Spiking Approximations of the MaxPooling Operation in Deep SNNs

B. Tripp, Apurva Narayan, Ramashish Gaurav, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

A scaleable spiking neural model of action planning

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

How are response properties in the middle temporal area related to inference on visual motion patterns?

Bryan Tripp, Omid Rezai, Lucas Stoffl, 2020, Neural Networks.

A Rich Source of Labels for Deep Network Models of the Primate Dorsal Visual Stream

Bryan Tripp, Omid Rezai, Pinar Boyraz Jentsch, 2016, 1610.04962.

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

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

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.