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Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU Octave functions for vision and neuroscience research.
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Pull request Compare This branch is 8 commits ahead, 9 commits behind kleinerm:master.
DavidBrainard Change a straight subtraction to bsxfun usage
Newer versions of Matlab do auto dimension expansion for addition and subtraction, but slightly older versions don’t.  Changed a subtraction here to use bsxfun so that it works on slightly older versions too.
Latest commit 8f8b2f8 May 11, 2019

README

This is the main Git repository for development of Psychtoolbox-3.

It is meant for developers or alpha-testers only, not for regular
users! Regular users should follow the download and update instructions
on our Wiki at http://www.psychtoolbox.org.

The data in this repository, the Psychtoolbox-3 distribution,
is licensed by a mix of various free software and open source
licenses. Most parts are licensed under MIT license, but a few
bits are under other licenses. The file License.txt in the
Psychtoolbox/ subfolder provides some overview. Some folders
and files have individual licenses attached.

Rough structure:

managementtools/ - Contains scripts for management of the project.

PsychSourceGL/   - Contains the C/C++ source code of almost all
                   compiled binary mex files for GNU/Octave and
                   Matlab and Python.

PsychSourceGL/Cohorts/ - Source code of 3rd party (F)OSS libraries
                         that we use, if required by their licenses,
                         or patches against such libraries, if we
                         had to make modifications that are not yet
                         included in the upstream projects yet.

Psychtoolbox/     - The end-user distribution with all compiled
                    mex files and all M-Files, scripts, GLSL shaders
                    etc. This is what gets downloaded by end-users by
                    default.

PsychPython/      - Code only used by Psychtoolbox Python support, e.g.,
                    test and demo .py scripts, helper libraries etc. from
                    which a Python package is built.
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