Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Software

Description: LiveCode's Community Edition, is a free open source object-oriented, cross-platform, natural language rapid development environment that can be used for programming local (LiveCode) and web-based (HTML5) experiments in psychology. LiveCode is based on the Transcript programming language (a high-level xTalk scripting language like HyperCard's HyperTalk), and is a great stepping stone to learning Javascript and Python. It is fit for developing experiments that require fine-grained control, complex sequencing, and heavy back-end processing. You can download LiveCode for PC, Linux or Mac at: https://downloads.livecode.com/livecode/. This component contains examples and resources for learning how to create experiments in LiveCode.

License: CC-By Attribution 4.0 International

Wiki

Add important information, links, or images here to describe your project.

Files

Loading files...

Citation

Components

How low can you go? Detecting style in extremely low resolution images

Humans can see through the complexity of scenes, faces, and objects by quickly extracting their redundant low-spatial and low-dimensional global prope...

Recent Activity

Loading logs...

An evidence accumulation model of perceptual discrimination with naturalistic stimuli

Evidence accumulation models have been used to describe the cognitive processes underlying performance across a number of domains. Previous applicatio...

Recent Activity

Loading logs...

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.