intellect 发表于 2025-3-25 04:38:36
https://doi.org/10.1007/b115982ding blocks of Python. It is written for readers who have little or no previous experience with Python or programming in general. Experienced Python users can skip this chapter and move on to the chapters focusing on experimental task scripting, eye tracking, and eye movement data analysis and visualization.Liberate 发表于 2025-3-25 10:25:49
Kimon P. Valavanis,George N. Saridis designed to build psychological experiments, but it offers a lightweight solution appealing to some researchers. This chapter will give a brief overview of the various modules of Pygame and use the essential features of Pygame to create a functioning script for the Posner cueing task.ABIDE 发表于 2025-3-25 14:10:47
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George A. Anastassiou,Iuliana F. Iatanerimental script can save a great deal of time at the analysis stage. This chapter will focus on the programming protocols that allow seamless integration with Data Viewer, a powerful data analysis and visualization software developed by SR Research.助记 发表于 2025-3-25 21:50:54
George A. Anastassiou,Iuliana F. Iatanhe EyeLink Host PC during recording—samples and events. This chapter will give an overview of the Pylink commands for accessing sample and event data. Two complete PsychoPy example scripts are presented to illustrate how to use sample and event data in real experimental tasks.Mingle 发表于 2025-3-26 00:31:57
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Getting to Know Pylink,arious features and functions of the Pylink library. A basic script is used to walk through the typical protocol of an eye-tracking experiment. This chapter ends with a working example script for a free-viewing task and a brief discussion on error and exception handling.HARD 发表于 2025-3-26 19:30:55
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