The Schultz Cigarette Burn Toolbox is a series of Python, MATLAB, and Arduino scripts designed to measure veridical video framerates and onset times. It uses visual markers (“Cigarette Burns”) on the corners of the screen which can be synchronized with EEG and/or response data using an analog input box or an Arduino microcontroller (or similar). The hardware setup and original tests are described in the manuscript submitted to Nature Methods:
Schultz, B. G., Biau, E., & Kotz, S. A. (submitted). An open-source toolbox for measuring dynamic video framerates and synchronizing video stimuli with neural and behavioral responses.
The toolbox can be downloaded HERE