Bryan P. Tripp

IEEE Robotics Autom. Lett., January, 2024

Modeling the Role of Contour Integration in Visual Inference.

[BibT_eX]

[DOI]

Salman Khan

Alexander Wong

Neural Comput., January, 2024

2023

Utilization of Non-verbal Behaviour and Social Gaze in Classroom Human-Robot Interaction Communications.

[BibT_eX]

[DOI]

Chrystopher L. Nehaniv

CoRR, 2023

2022

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

[BibT_eX]

[DOI]

PLoS Comput. Biol., September, 2022

Spiking Approximations of the MaxPooling Operation in Deep SNNs.

[BibT_eX]

[DOI]

Ramashish Gaurav

Apurva Narayan

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Driving Scene Understanding: How much temporal context and spatial resolution is necessary?

[BibT_eX]

[DOI]

Ramashish Gaurav

Apurva Narayan

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020

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

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

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

[BibT_eX]

[DOI]

Omid Rezai

Lucas Stoffl

Neural Networks, 2020

Identifying and interpreting tuning dimensions in deep networks.

[BibT_eX]

[DOI]

CoRR, 2020

Active Perception and Representation for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Approximating the Architecture of Visual Cortex in a Convolutional Network.

[BibT_eX]

[DOI]

Neural Comput., 2019

Figure-ground representation in deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018

OREO: An Open-Hardware Robotic Head That Supports Practical Saccades and Accommodation.

[BibT_eX]

[DOI]

Scott Huber

IEEE Robotics Autom. Lett., 2018

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

[BibT_eX]

[DOI]

Omid Rezai

Pinar Boyraz Jentsch

Neural Networks, 2018

A deeper understanding of the brain.

[BibT_eX]

[DOI]

NeuroImage, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Convolutional Neural Networks Regularized by Correlated Noise.

[BibT_eX]

[DOI]

Shamak Dutta

Graham W. Taylor

Proceedings of the 15th Conference on Computer and Robot Vision, 2018

2017

Extending the Stabilized Supralinear Network model for binocular image processing.

[BibT_eX]

[DOI]

Neural Networks, 2017

An empirical model of activity in macaque inferior temporal cortex.

[BibT_eX]

[DOI]

Salman Khan

Neural Networks, 2017

Optimization and Rapid Prototyping of Catadioptric Omnidirectional Stereo Sensors.

[BibT_eX]

[DOI]

Sanjay Singh

J. Intell. Robotic Syst., 2017

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

[BibT_eX]

[DOI]

IEEE Access, 2017

Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Function approximation in inhibitory networks.

[BibT_eX]

[DOI]

Neural Networks, 2016

Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights.

[BibT_eX]

[DOI]

Wilten Nicola

Matthew Scott

Frontiers Comput. Neurosci., 2016

A Convolutional Network Model of the Primate Middle Temporal Area.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

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

[BibT_eX]

[DOI]

Sugandha Sharma

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

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

[BibT_eX]

[DOI]

Murphy Berzish

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Design of a Saccading and Accommodating Robot Vision System.

[BibT_eX]

[DOI]

Scott Huber

Proceedings of the 13th Conference on Computer and Robot Vision, 2016

A scaleable spiking neural model of action planning.

[BibT_eX]

[DOI]

Peter Blouw

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015

Surrogate Population Models for Large-Scale Neural Simulations.

[BibT_eX]

[DOI]

Neural Comput., 2015

2014

Modeling the shape hierarchy for visually guided grasping.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2014

Modelling Primate Control of Grasping for Robotics Applications.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2012

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

[BibT_eX]

[DOI]

Neural Comput., 2012

Population coding in sparsely connected networks of noisy neurons.

[BibT_eX]

[DOI]

Jeff Orchard

Frontiers Comput. Neurosci., 2012

Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware.

[BibT_eX]

[DOI]

Ralph Etienne-Cummings

Proceedings of the 2012 IEEE Biomedical Circuits and Systems Conference, 2012

2010

Population Models of Temporal Differentiation.

[BibT_eX]

[DOI]

Neural Comput., 2010

2009

Python scripting in the Nengo simulator.

[BibT_eX]

[DOI]

Terrence C. Stewart

Frontiers Neuroinformatics, 2009

2001

Design of an Adapter to Support XML Queries Against Existing Pharmacy Systems.

[BibT_eX]

[DOI]

Abraham Tio

Proceedings of the MEDINFO 2001, 2001

2000

Clinical Computing: Enriching the Canopy.

[BibT_eX]

[DOI]