Neural Information Processing

Modules Master

Course title:
Psychophysics and Non-invasive Methods

Module number  GTCNEURO

Type of Module mandatory for NIP, elective for NB

Credits allocated  3  
Workload  90 h

Contact time  30 h / 2 SWS
Self-study  60 h

Module length
1 term

Frequency of module
Annually in summer term

Language  English

Type of Course  Lecture course

Exam & Grading
Written exam, graded; length: 90 min

The Vision Sciences are an interdisciplinary field, with researchers having diverse backgrounds from psychology, biology, or medicine to physics, computer science and engineering. Analysing and designing experiments in the Vision Sciences thus requires knowledge straddling the typical boundaries of many disciplines. In this course we will cover some physics (light), electrical engineering (display devices), mathematical psychology (signal detection theory) and statistics (psychometric function estimation) in sufficient detail, to allow the students to both analyse and critically assess psychophysical experiments in the literature, as well as to design their own psychophysical experiments.

Learning targets
Participants will acquire the necessary knowledge to critically assess experiments in the vision sciences as well as the necessary skills to design and analyse their own behavioural (psychophysical) experiments. Through homework assignments and computer exercises they will gain hands-on experience applying signal detection theory and psychometric function estimation to data, and avoid common pitfalls.

Allowable for
GTC - Master, Neural Information Processing
GTC - Master, Neural and Behavioural Sciences

Prerequisites  Basic mathematical skills (probability theory, calculus), Programming skills (MATLAB)

Course Co-ordinator  Prof. Felix Wichmann, DPhil

Suggested reading  
Wickens, T.D. (2002). Elementary Signal Detection Theory. Oxford University Press.
Green, D.M. & Swets, J.A. (1988). Signal Detection Theory and Psychophysics. Peninsula Publishing.
Original research papers will be provided during the course.