psy170 - Neurophysiology (Vollständige Modulbeschreibung)

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Stud.IP Uni Oldenburg

20.05.2022 06:54:33

Modulbezeichnung	Neurophysiology
Modulkürzel	psy170
Kreditpunkte	6.0 KP
Workload	180 h
Einrichtungsverzeichnis	Department für Psychologie
Verwendbarkeit des Moduls	Master Neurocognitive Psychology (Master) > Mastermodule
Zuständige Personen	Debener, Stefan (Modulverantwortung) Debener, Stefan (Prüfungsberechtigt)
Teilnahmevoraussetzungen	Enrolment in Master's programme Neurocognitive Psychology.
Kompetenzziele	Goals of module: Students will understand the basic concepts of biomedical signal processing. They will use EEG analysis tools interactively and independently and will understand the complete chain of EEG analysis steps, from data import to the illustration of results. They will be able to use open source tools for EEG analysis and apply theoretical knowledge to practical problems of physiology. Competencies: ++ Neuropsychological / neurophysiological knowledge ++ experimental methods ++ statistics & scientific programming ++ ethics / good scientific practice / professional behavior + group work + project & time management
Modulinhalte	Students will acquire specific knowledge about neurophysiology and neuroanatomy, learn the fundamental concepts of multi-channel EEG analysis, and acquire hands-on skills in using EEGLAB, an open-source software toolbox for advanced EEG analysis. Part 1: Neurophysiology and neuroanatomy (lecture): winter Neurophysiology, EEG, EMG, ECG Neuroanatomy Time-domain and frequency-domain analysis methods Part 2: EEG recording and analysis (seminar): winter Recording and analysis of biomedical signals Averaging, filtering, signal-to-noise Topographical EEG analysis Part 3: EEG analysis with Matlab (seminar): summer EEGLAB file I/O, data structure and scripting Preprocessing, artefact rejection and artefact correction Statistical decomposition Event-related potentials, topographical mapping and power spectra Illustration of results
Literaturempfehlungen	Kandel et al. (2000). Principles of Neural Science, McGraw-Hill Luck, S.J. (2005). An Introduction to the ERP Technique, The MIT Press Van Drongelen, W. (2006). Signal Processing for Neuroscientists, Academic Press
Links
Unterrichtssprache	Englisch
Dauer in Semestern	2 Semester
Angebotsrhythmus Modul	The module will start every winter term.
Aufnahmekapazität Modul	18 ( The lecture is not restricted. )
Hinweise	PLEASE NOTE: We strongly recommend to take either psy170, psy270, psy280, or psy220 to gain methodological competencies (EEG, fMRI, TBS, HCI) that are needed for most practical projects and Master's theses!
Modullevel / module level	MM (Mastermodul / Master module)
Modulart / typ of module	Wahlpflicht / Elective
Lehr-/Lernform / Teaching/Learning method	Part 1: lecture; Part 2 and 3: seminars
Vorkenntnisse / Previous knowledge

Lehrveranstaltungsform	Kommentar	SWS	Angebotsrhythmus	Workload Präsenz
Vorlesung	2 semester hours per week in first half of the winter term.	1	WiSe	14
Seminar	2 semester hours per week in second half of the winter term. 2 semester hours per week in summer term.	3	SoSe und WiSe	42
Präsenzzeit Modul insgesamt				56 h

Prüfung	Prüfungszeiten	Prüfungsform
Gesamtmodul	exam period at the end of the summer term	The module will be tested with a written exam of 2 h duration. Required active participation for gaining credits: recording of electroencephalographic data attendance of at least 70% in the seminars (use attendance sheet that will be handed out in the beginning of the term).