PSY4323 – Electrophysiology

Course content

The course will provide theoretical and hands-on experience on the most common electrophysiological techniques used in human cognitive neuroscience. The theoretical part will cover different methodologies of central and peripheral nervous system measurements, with the emphasis on electroencephalography (EEG) and time-series analysis. The seminars will feature hands-on experience in EEG data acquisition and analysis, including health and safety in the lab environment, as well as relevant toolboxes and programming skills for basic time-series analysis.

Learning outcome

Knowledge

You will learn

  • The basics of neurophysiological measurements in humans
  • Strengths and limitations of different neurophysiological methods
  • How to interpret findings
  • Research and clinical applications
  • Experimental set-up of EEG laboratory
  • Basic understanding of time-series analysis.

Skills

  • EEG data acquisition, including handling of lab equipment, safety routines and set-up
  • Common toolboxes and basic programming skills for EEG analysis
  • Time-series and spectral analysis
  • Data visualization '

General competence

  • A general understanding of the steps needed for conducting cognitive neuroscience research
  • Preparedness for the conduction of research projects using electrophysiological methods

Admission to the course

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Bachelor in psychology with a focus on cognitive neuroscience.

Completion of the courses PSY4321 and PSY4322.

Teaching

8 x 2h lectures and 5 x 4h seminars.

Teaching is done through lectures that cover the theoretical foundation and five 4h-block hands-on sessions, including laboratory work and data analysis (programming).

Examination

One week home assignment.

Examination support material

All support material is allowed. When using AI, you must explain and be transparent about its use: read more about the guidelines for AI and exams at How to use AI as a student - University of Oslo

Language of examination

The examination text is given in English, and you submit your response in English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Resit an examination

If you are sick or have another valid reason for not attending the regular exam, we offer a postponed exam later in the same semester.

See also our information about resitting an exam.

More about examinations at UiO

You will find further guides and resources at the web page on examinations at UiO.

Last updated from FS (Felles studentsystem) Oct. 15, 2026 6:12:27 AM

Facts about this course

Level
Master
Credits
5
Teaching
Spring
Teaching language
English

Contact

Department of Psychology