Introduction to Perception

Perception of sensory inputs can be studied along three different dimensions: modality, description level and methodology. This lecture will discuss several different examples along each dimension and highlight common principles, when possible. Modalities include, for instance, vision, audition, olfaction and proprioception. The description level will range from receptor physiology to Gestalt psychology. The methodology will include psychophysics, electrophysiology and computational modeling.



Course type
3 CP
Winter Term 2018/2019


Takes place every week on Monday from 10:00 to 12:00 in room GA 04/187.
First appointment is on 15.10.2018
Last appointment is on 28.01.2019

Literature: Sensation and Perception by E. Bruce Goldstein, 8th or 9th ed, Wadsworth

Assessment:            final exam (Tuesday, 6 February 2018, 10.00 - 12.00 in HZO 50); make-up exam (Monday, 12 March 2018, 10.00 - 12.00 in HGA 20)

Attendance:             optional, but highly recommended
Course material:     Blackboard
Contact:                    Prof. Dr. Sen Cheng, NB 3/33,
Office hours:            Thursdays 14.00 - 15.00 or by appointment

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210