Psychtoolbox is a popular MATLAB toolbox for neuroscience and psychology experiments. Building experiments in MATLAB with Psychtoolbox allows a degree of flexibility and precision that is essential in many research niches. However, it can be a technical process, and time consuming even for experienced users. Redundancy is also a problem as reusing stimuli and functionality means refactored code across different experiments, or even reinventing it across labs.
PsychBench is software for MATLAB built on Psychtoolbox. It adds a layer to make building Psychtoolbox-based experiments faster, more accessible, and less redundant. It aims to do this while retaining the precision that is important to Psychtoolbox users. It also allows flexibility for custom stimuli and functionality that can plug into any experiment. PsychBench's open-source library comes with a range of stimuli and functionality, including all the basics as well as niche stimuli possible only with Psychtoolbox.
This link downloads the MATLAB function pb_install.m.
Put it in the location where you want to install PsychBench, set your MATLAB current folder to there, and type help pb_install at the MATLAB command line for instructions.
Windows / macOS / Linux – 64-bit
MATLAB R2017a or later (R2018b+ recommended, mainly tested in R2021a)
PsychBench does not run in GNU Octave.
Psychtoolbox most recent version (free)
GStreamer (free)
Windows: GStreamer 64-bit MSVC runtime 1.22.1
macOS (Intel and ARM): GStreamer runtime 1.22.1
Linux: generally already installed
In versions earlier than 2023.03.26 (180559), a bug in pb_update may prevent updating. If you get a MATLAB error involving fopen/fclose or files being locked, please delete the PsychBench folder, remove it and its subfolders from the MATLAB search path (MATLAB toolbar → Set Path), and reinstall with the most recent version using the download link above.
Build and run an experiment in PsychBench by writing a short script. Make objects of various types (.g. picture, text, sound, keyPress, etc.). For each object, you can specify parameters and options by setting properties using dot statements. Lots of properties are possible but for any given experiment you can omit most to leave them at default values.
The script below would run a (very) simple experiment consisting of two repetitions of three distinct trials, all in random order. In each trial, a picture of an animal shows at a height of 10 degrees visual angle. The picture stops showing when the subject presses any key. Experiment results report which animal was shown (picture file name) and response latency for each trial.
Some compact Psychtoolbox code to run the same experiment—with the same timing precision and error handling, and assuming MATLAB imread loads the pictures with no fuss—would be:
The take-away is that with PsychBench you work mainly at the level of stimulus and experiment concepts while much of the technical lifting is automated underneath. Meanwhile the precision of Psychtoolbox is preserved because underneath is Psychtoolbox code.
PsychBench also facilitates modifying experiments and reusing stimuli and functionality across experiments. Changing something just means changing property values or swapping in different objects. Any object works anywhere in any experiment.
PsychBench comes with a library of open-source object types (MATLAB + Psychtoolbox).
We add new object types regularly. Please contact us with requests.
If the library doesn't have the stimuli or function you need for an experiment, you can write your own code in MATLAB + Psychtoolbox. The approach is to write it as a new object type—this allows you to use the code anywhere in any experiment as well as have it work with all core functionality (timing, core visual options, staircasing, results output, etc.). You can make a quick type for your own use, or you can invest more time to make a durable type which has more flexibility and a fuller interface for an open range of users. PsychBench's element type framework facilitates the process. All the standard types that come with PsychBench are open source, so you can use them as examples and/or build off them.
You can share an element type with other people by zipping the type's folder and sending it. To add a type you have received, just copy its folder into your local element types folder, then call pb_addPath to refresh PsychBench.
You can also contribute a type to the library that comes with PsychBench. If you would like to do this, please contact us. We would be happy to credit you. And thank-you!
PsychBench © 2017–2023 Giles Holland
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