This repository contains a custom implementation of the Posner spatial cueing task.
- Implements standard Posner cueing paradigm with valid, invalid, and neutral cues.
- Includes full experiment flow: instructions, fixation, cue, target, response collection.
- Timing accuracy ensured using Psychtoolbox.
- Data are automatically logged for RT and accuracy analysis.
PosnerCreative.mβ main MATLAB/Psychtoolbox experiment script.ExampleParticipantPosnerData.xlsxβ sample participant dataset (RT + accuracy)..gitignoreβ excludes large temp files (MATLAB autosave,.mat,.asv, etc.)
The output dataset works seamlessly with:
- JASP (for raincloud plots, diffusion modeling pre-processing)
- Python (pandas, seaborn, EZ-diffusion scripts)
- MATLAB (visualization and post-analysis)
This experiment was developed as part of Cognitive Science coursework at IIT Gandhinagar, demonstrating skills in:
- Experimental design
- MATLAB scripting
- Psychtoolbox
- Reaction-time data analysis
- EZ-diffusion modelling