Skip to main content

neural network models of visual search behavior

Project description

DOI PyPI version


neural networks models of visual search behavior

Paper on how object recognition models account for visual search behavior, that uses this package:

Proceedings paper from 2019 Conference on Cognitive Computational Neuroscience that used previous versions of this library.

Tool that can be used to generate visual search stimuli to then carry out experiments with this library:


The following commands were used to create the environment:

tu@computi:~$ conda create -n searchnets python=3.6 numpy matplotlib imageio joblib tensorflow-gpu 
tu@computi:~$ source activate searchnets
tu@computi:~$ git clone
tu@computi:~$ cd ./visual-search-nets
tu@computi:~$ pip install .


Installing this package (by running pip install . in the source directory) makes it possible to run experiments from the command line with the searchnets command, like so:

tu@computi:~$ searchnets train config.ini

The command-line interface accepts arguments with the syntax searchnets command config.ini,
where command is some command to run, and config.ini is the name of a configuration file with options that specify how the command will be executed.
For details on the commands, see this page in the docs. For details on the config.ini files, please see this other page.


  • 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.


Please cite the DOI for this code: DOI

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

visual-search-nets-1.2.0.tar.gz (57.2 kB view hashes)

Uploaded Source

Built Distribution

visual_search_nets-1.2.0-py3-none-any.whl (81.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page