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University of Oldenburg
31.10.2020 11:36:08
psy170 - Neurophysiology (Complete module description)
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Module label Neurophysiology
Module code psy170
Credit points 6.0 KP
Workload 180 h
Faculty/Institute Department of Psychology
Used in course of study
  • Master's Programme Neurocognitive Psychology (Master) > Mastermodule
Contact person
Module responsibility
Authorized examiners
Entry requirements
Enrolment in Master's programme Neurocognitive Psychology.
Skills to be acquired in this module
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
Module contents
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
Reader's advisory
  • 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
Language of instruction English
Duration (semesters) 2 Semester
Module frequency The module will start every winter term.
Module capacity 18 (
The lecture is not restricted.
)
Reference text
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 MM (Mastermodul / Master module)
Modullevel MM (Mastermodul / Master module)
Modulart Wahlpflicht / Elective
Modulart Wahlpflicht / Elective
Lern-/Lehrform / Type of program Part 1: lecture; Part 2 and 3: seminars
Lern-/Lehrform / Type of program Part 1: lecture; Part 2 and 3: seminars
Vorkenntnisse / Previous knowledge
Course type Comment SWS Frequency Workload attendance
Lecture
2 semester hours per week in first half of the winter term.
1.00 WiSe 14 h
Seminar
2 semester hours per week in second half of the winter term. 2 semester hours per week in summer term.
3.00 SuSe and WiSe 42 h
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
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).