Discourse in Episodic Memory

When we remember events from our lives, whether they are the once-in-a-lifetime or everyday kind, we use our episodic memory. Although a small region of the brain called the hippocampus was dentified to be important for episodic memories a long time ago, the nature and neural basis of episodic memory remain unclear. This class will employ a novel, highly interactive format to introduce the students to the cutting edge of the research into episodic memory. Students will be involved in choosing the literature discussed in class and discuss their views with an invited speaker who will also give a scientific talk.



Course type
3 CP
Summer Term 2018


Takes place every week on Monday from 14:00 to 16:00 in room NB 3/72.
First appointment is on 09.04.2018
Last appointment is on 16.07.2018


Knowledge of learning and memory at Bachelor level.

Contact: Prof. Sen Cheng, NB 3/33, sen.cheng@rub.de
Office hours: Thursdays 14:00-15:00
Degree program: M.Sc. Psycholgie und Kognitive Neurowissenschaften, 2. Semester, Modul: 'Diskurse über aktuelle Themen der kognitiven Neurowissenschaften' M.Sc. Cognitive Science, module C2. Topics Selection/Learning & Memory

Capacity: max. 15 students
Enrollment: VSPL

Assessment: presentations, active participation
Course material: Blackboard (sign-up required)

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