263 citations · 302 across the 4 of their papers we have counts for
5 papers
Improved object recognition using neural networks trained to mimic the brain's statistical properties
Callie Federer, Haoyan Xu, Alona Fyshe +1
The current state-of-the-art object recognition algorithms, deep convolutional neural networks (DCNNs), are inspired by the architecture of the mammalian visual system, and are cap…
Using deep learning to reveal the neural code for images in primary visual cortex
William F. Kindel, Elijah D. Christensen, Joel Zylberberg
Primary visual cortex (V1) is the first stage of cortical image processing, and a major effort in systems neuroscience is devoted to understanding how it encodes information about…
Dead leaves and the dirty ground: low-level image statistics in transmissive and occlusive imaging environments
Joel Zylberberg, David Pfau, Michael Robert DeWeese
The opacity of typical objects in the world results in occlusion --- an important property of natural scenes that makes inference of the full 3-dimensional structure of the world c…
How shoud prey animals respond to uncertain threats?
Joel Zylberberg, Michael R. DeWeese
A prey animal surveying its environment must decide whether there is a dangerous predator present or not. If there is, it may flee. Flight has an associated cost, so the animal sho…
Searching for modified growth patterns with tomographic surveys
Gong-Bo Zhao, Levon Pogosian, Alessandra Silvestri +1
In alternative theories of gravity, designed to produce cosmic acceleration at the current epoch, the growth of large scale structure can be modified. We study the potential of upc…