Read together with Building Experiments in PsychoPy, this text is designed to support students who are familiar with PsychoPy and who want to progress into programming in the original software package Python (on which PsychoPy is built).
Read together with Building Experiments in PsychoPy, this text is designed to support students who are familiar with PsychoPy and who want to progress into programming in the original software package Python (on which PsychoPy is built).Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Jonathan Peirce is Associate Professor in Psychology at the University of Nottingham, with a background in visual neuroscience and a particular interest in research methods. For his research, Jon needed precise (and dynamic) stimulus presentations. For teaching psychology undergraduates about research methods, he needed software that was intuitive enough for them to understand. The combination of these needs (and his generally geekiness) caused Jon gradually to create PsychoPy. Happily, many people have got on board with the project and it grew. When he isn't designing experiments, writing software or trying to teach students to be awesome scientists, Jon can be found walking his dog, playing with his daughter or making unpleasant noises on a guitar.
Inhaltsangabe
Introduction Python Programming basics Python for MATLAB migrants Coding a full experiment: Posner cuing task Improving the Posner task Understanding your hardware Other PsychoPy stimuli Using Rating Scales Connecting to hardware with ioHub Using adaptive methods to find thresholds Combining PsychoPy Builder experiments with code Good coding practices Data analysis Using Python for all your scripting needs Using Python for neuroimaging Advanced Features of PsychoPy
Introduction Python Programming basics Python for MATLAB migrants Coding a full experiment: Posner cuing task Improving the Posner task Understanding your hardware Other PsychoPy stimuli Using Rating Scales Connecting to hardware with ioHub Using adaptive methods to find thresholds Combining PsychoPy Builder experiments with code Good coding practices Data analysis Using Python for all your scripting needs Using Python for neuroimaging Advanced Features of PsychoPy
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