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Do you want to learn to read people's minds? In this student-friendly, practice-focussed textbook on EEG and biosignal analysis, you will learn how to: Implement your experiment in E-Prime or OpenSesame; Run your study in the psychophysiological laboratory; Analyse data in MATLAB by following simple steps. This textbook follows a unique approach by guiding you through a single EEG study, each part introducing the relevant core knowledge and commonly available software. Practical exercises help you master the skills to independently implement every aspect of an experiment, from setting up the…mehr
Do you want to learn to read people's minds? In this student-friendly, practice-focussed textbook on EEG and biosignal analysis, you will learn how to: Implement your experiment in E-Prime or OpenSesame; Run your study in the psychophysiological laboratory; Analyse data in MATLAB by following simple steps. This textbook follows a unique approach by guiding you through a single EEG study, each part introducing the relevant core knowledge and commonly available software. Practical exercises help you master the skills to independently implement every aspect of an experiment, from setting up the lab to analysing the data. Suitable for developing both basic levels of skill for undergraduates as well as advancing towards a stronger command of analysis and understanding at postgraduate level. Michiel Spapé is a Lecturer and Researcher in Psychology at the University of Helsinki.
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Autorenporträt
Michiel Spapé is a postdoctoral researcher at the University of Helsinki.
Inhaltsangabe
Chapter 1: EEG in Theory Chapter 2: Design Your Experiment Chapter 3: Develop Your Experiment in E-Prime Chapter 4: Develop Your Experiment in OpenSesame Chapter 5: Lab Life: EEG Equipment, Hardware and Software Chapter 6: Lab Life: EEG Equipment and Dealing with People Chapter 7: Preprocessing EEG: Importing, Referencing, Filtering Chapter 8: Further Processing of EEG: Artefact Rejection and Correction Chapter 9: Looking at Brainwaves: Data Visualisation Chapter 10: Great Brains Think Alike: Grand Average Analysis Chapter 11: Inferential Statistics and Reporting Results Chapter 12: Concluding and Discussing Research
Chapter 1: EEG in Theory Chapter 2: Design Your Experiment Chapter 3: Develop Your Experiment in E-Prime Chapter 4: Develop Your Experiment in OpenSesame Chapter 5: Lab Life: EEG Equipment, Hardware and Software Chapter 6: Lab Life: EEG Equipment and Dealing with People Chapter 7: Preprocessing EEG: Importing, Referencing, Filtering Chapter 8: Further Processing of EEG: Artefact Rejection and Correction Chapter 9: Looking at Brainwaves: Data Visualisation Chapter 10: Great Brains Think Alike: Grand Average Analysis Chapter 11: Inferential Statistics and Reporting Results Chapter 12: Concluding and Discussing Research
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