Nicholson-Prinz-JOV-DNNs-bio-vis

Code for the paper:
"Could simplified stimuli change how the brain performs visual search tasks? A deep neural network study" https://jov.arvojournals.org/article.aspx?articleid=2778890

Installation

Experiments were run in an environment created with conda on Ubuntu 16.04.

There are two main dependencies:

• the visual-search-nets package
• jupyterlab

A similar environment can be created with conda on Ubuntu using the spec-file.txt in this repository as follows:

$ git clone https://github.com/NickleDave/Nicholson-Prinz-2021.git
$ cd Nicholson-Prinz-2021
$ conda create --name Nicholson-Prinz-2021 --file spec-file.txt

You may also be able to create a suitable environment on other linux platforms using the environment.yml file.

$ git clone https://github.com/NickleDave/Nicholson-Prinz-JOV-DNNs-bio-vis
$ cd Nicholson-Prinz-JOV-DNNs-bio-vis
$ conda env create -f environment.yml

Acknowledgements

• Research funded by the Lifelong Learning Machines program, DARPA/Microsystems Technology Office, DARPA cooperative agreement HR0011-18-2-0019
• David Nicholson was partially supported by the 2017 William K. and Katherine W. Estes Fund to F. Pestilli, R. Goldstone and L. Smith, Indiana University Bloomington.

Citation

If you use / adapt this code, please cite its DOI: