Supporting code for "What not detectors help the brain see in depth"
Repository URI
Repository DOI
Change log
Authors
Goncalves, NR
Welchman, AE
Description
This entry contains code to optimize convolutional neural networks for a disparity discrimination task. It also provides code to instantiate a Binocular Likelhood Model as proposed in Goncalves and Welchman, Current Biology, 2017
Version
Software / Usage instructions
The files are divided into two folders
1. BNN: code and example dataset to train a binocular neural network (BNN)
2. BLM: code and example dataset to instantiate a binocular likelihood model (BLM)
Details on how to run the scripts are provided in the text file readme.md
Keywords
Depth perception, Binocular disparity, Convolutional Neural Network
Publisher
Sponsorship
Wellcome Trust (095183/Z/10/Z)