Bryan Tripp - researchr alias

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Viewing Publication 1 - 10 from 10

2022

Spiking Approximations of the MaxPooling Operation in Deep SNNsRamashish Gaurav, Bryan Tripp, Apurva Narayan. ijcnn 2022: 1-8 [doi]

MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortexJianghong Shi, Bryan Tripp, Eric Shea-Brown, Stefan Mihalas, Michael A. Buice. ploscb, 18(9):1010427, September 2022. [doi]

2021

Driving Scene Understanding: How much temporal context and spatial resolution is necessary?Ramashish Gaurav, Bryan Tripp, Apurva Narayan. ai 2021: [doi]

2019

Approximating the Architecture of Visual Cortex in a Convolutional NetworkBryan Tripp. neco, 31(8):1551-1591, 2019. [doi]

2018

Convolutional Neural Networks Regularized by Correlated NoiseShamak Dutta, Bryan Tripp, Graham W. Taylor. crv 2018: 375-382 [doi]

A deeper understanding of the brainBryan Tripp. neuroimage, 180(Part):114-116, 2018. [doi]

2016

Real-Time FPGA Simulation of Surrogate Models of Large Spiking NetworksMurphy Berzish, Chris Eliasmith, Bryan Tripp. icann 2016: 349-356 [doi]

2001

Design of an Adapter to Support XML Queries Against Existing Pharmacy SystemsBryan Tripp, Abraham Tio. medinfo 2001: 710 [doi]

2000

Clinical Computing: Enriching the CanopyBryan Tripp, Matthew W. Morgan. amia 2000: [doi]

1999

Getting data out of the electronic patient record: critical steps in building a data warehouse for decision supportA. Ebidia, Carol Mulder, Bryan Tripp, Matthew W. Morgan. amia 1999: [doi]

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