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this is the second tutorial on ilink integration with psyctoolbox for matlab it is a continuation of the basic integration tutorial and assumes that you are familiar with the basic idling integration with psyctoolbox if not you can watch the first tutorial here in this next tutorial i will go through the steps required to create case contingent tasks and to show how to retrieve eye movement data online via psy toolbox before going through the code however i will briefly describe the data types saved by the eye tracker eye link eye movement data consists of samples eye position and pupil size recorded at every sample based on the trackeramp;#39;s sampling rate and events such as sarcardamp;#39;s fixations and blinks detected by the ilink parser here is some eye movement data recorded at a thousand hertz to give you an idea of what the data looks like this is the raw data file converted to ascii the left column represents a time stamp every millisecond and every millisecond we have a n
