by Jun Zhuang © 2019 Allen Institute email: junz<AT>alleninstitute<DOT>org

The WarpedVisualStim package is a self-contained module for display spherically corrected visual stimuli on a flat screen in visual physiology experiments. It is a wrapper of the "psychopy" package.

The visual stimuli generation and display is implemented in the modules MonitorSetup.py, StimulusRoutines.py and DisplayStimulus.py. These modules allow you to display flashing circle, sparse noise, locally sparse noise, drifting grading circle, static grading circle and others with spherical correction. The method for spherical correction is the same as Marshel et al. 2011 (2). These stimulus routines are highly customizable and designed to give the user significant flexibility and control in creative experimental design.

It can also interact with a National Instrument equipment to receive trigger and emit timing signals.

Please check the '\examples' folder for example scripts of visual stimulation.

• Jun Zhuang @zhuangj
• John Yearseley @yearsj
• Derric Williams @derricw
• Sumiya Kuroda @sumiya-kuroda

We are planning on occasional updating this tool with no fixed schedule. Community involvement is encouraged through both issues and pull requests.

1. python 3.7

cd <package_path>
conda env create --name warpedvisualstim python=3.7
activate warpedvisualstim (Windows)
source activate warpedvisualstim (Mac or Linux)
python setup.py install
pip install psychopy
pip install pytest

1. pytest
2. numpy
3. scipy
4. matplotlib
5. h5py
6. pillow
7. psychopy
8. pyglet
9. OpenCV
10. scikit-image
11. tifffile
12. PyDAQmx
13. configobj
14. sphinx, version 1.6.3 or later (just for documentation)
15. numpydoc, version 0.7.0 (just for documentation)

for detailed installation instructions see the install page in documentation (doc branch).

1. Most image analysis parameters are defined as number of pixels, not microns.
2. Works in windows, but not fully tested on Mac and Linux.