Abstract
Electroencephalography (EEG) and magnetoencephalography (MEG) are closely related non-invasive recording techniques that are of great value in cognitive neuroscience studies with human participants. They are sensitive to, respectively, changes in electric and magnetic fields that are generated by post-synaptic currents on spatially aligned pyramidal cells in cortex. The superior time resolution of EEG/MEG compared to functional magnetic resonance imaging (fMRI) allows for tracking changes in neural activity during the subject’s perfor-mance of a behavioural task with high temporal precision. This chapter introduces the biophysics behind EEG/MEG recordings, discusses practical issues when conducting an experiment, and highlights the most important signal features for the field of cognitive neuroscience. Furthermore, it illustrates how the combination of cognitive modelling and EEG/MEG may aid a meaningful interpretation of experimental findings.
| Original language | English |
|---|---|
| Title of host publication | An Introduction to Model-Based Cognitive Neuroscience |
| Editors | Birte U. Forstmann, Brandon M. Turner |
| Publisher | Springer Nature |
| Pages | 185-209 |
| Number of pages | 25 |
| Edition | 2nd |
| ISBN (Electronic) | 9783031452710 |
| ISBN (Print) | 9783031452703, 9783031452734 |
| DOIs | |
| Publication status | Published - 2024 |
Bibliographical note
Publisher Copyright:© Springer Nature Switzerland AG 2024.
Keywords
- Electroencephalography
- Magnetoencephalography
- Signal processing
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