Stud.IP Uni Oldenburg
Universität Oldenburg
07.12.2021 01:02:52
psy170 - Neurophysiology (Vollständige Modulbeschreibung)
Originalfassung Englisch PDF Download
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).