Summer Term 2020 / Neural Inf Process


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Course title

Psychophysics & Non-Invasive Methods

Lecturer
Wichmann
Credits
3.00
Course content / topics

Objective
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.

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

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.

ILIAS Online Course Link

Day, time & location

SS20 online, link in course descricption. [Thu 12 - 2 pm, DZNE Conference Room]