Search Results for author: Bryan P. Tripp

Found 2 papers, 0 papers with code

Identifying and interpreting tuning dimensions in deep networks

no code implementations NeurIPS Workshop SVRHM 2020 Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor

While researchers have attempted to manually identify an analogue to these tuning dimensions in deep neural networks, we are unaware of an automatic way to discover them.

Attribute

Task-Driven Learning of Contour Integration Responses in a V1 Model

no code implementations NeurIPS Workshop SVRHM 2020 Salman Khan, Alexander Wong, Bryan P. Tripp

Under difficult viewing conditions, the brain's visual system uses a variety of modulatory techniques to augment its core feed-forward signals.

Cannot find the paper you are looking for? You can Submit a new open access paper.