Introduction to Computational Neuroscience
Computational neuroscience uses quantitative methods to describe what nervous systems do, study how they function, and explain the underlying principles. This class introduces the basics of the mathematical and computational methods used in contemporary neursocience research. These methods are applied to problems in perception, motor control, learning, and memory.
Assessment: written final exam - 120 min. - date: TBA
Course material: available on Moodle (registration required)
Literature: "Theoretical Neuroscience" by Dayan and Abbott, MIT Press
Prof. Dr. Sen ChengLecturer
|(+49) 234-32-29486 email@example.com NB 3/33|
- Course type
- Summer Term 2023
every week on Monday from 12:00 to 14:00 in room NB 3/57.
First appointment is on 03.04.2023
Last appointment is on 10.07.2023
every week on Friday from 14:00 to 16:00 in room NB 3/57.
First appointment is on 14.04.2023
Last appointment is on 14.07.2023
Calculus, linear algebra, statistics
Prof. Dr. Sen Cheng, NB 3/33, firstname.lastname@example.org
Office hours: Thursdays 14:00 - 15:00
Ms. Vinita Samarasinghe, NB 3/26, email@example.com
Office hours: by appointment only
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