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.
Lecturers
Prof. Dr. Sen ChengLecturer |
(+49) 234-32-29486 sen.cheng@rub.de NB 3/33 |
Details
- Course type
- Seminars
- Credits
- 3 CP
- Term
- Summer Term 2017
Dates
- Seminar
-
Takes place
every week on Monday from 14.00 to 16.00 in room NB 3/72.
First appointment is on 24.04.2017
Last appointment is on 24.07.2017
Requirements
Knowledge of learning and memory at Bachelor level.
Contact: Prof. Sen Cheng, GA 04/48, 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 interdisciplinary research unit of the Ruhr-Universität Bochum. We aim to understand fundamental principles that characterize how organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by insights into 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, theoretical approaches from physics, mathematics, and computer science, including, in particular, machine learning, artificial intelligence, autonomous robotics, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210