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
Enrollment: eCampus/Flexnow
Lecturers
![]() Prof. Dr. Sen ChengLecturer |
(+49) 234-32-29486 sen.cheng@rub.de NB 3/33 |
Details
- Course type
- Lectures
- Credits
- 6
- Term
- Summer Term 2021
- E-Learning
- moodle course available
Dates
- Lecture
-
Takes place
every week on Monday from 16:00 to 18:00.
First appointment is on 12.04.2021
Last appointment is on 19.07.2021 - Tutorial
-
Takes place
every week on Friday from 10:00 to 12:00.
First appointment is on 16.04.2021
Last appointment is on 23.07.2021
Requirements
Calculus, linear algebra, statistics
Contact:
Lecture
Prof. Dr. Sen Cheng, NB 3/33, sen.cheng@rub.de
Office hours: Thursdays 14:00 - 15:00
Lecture
Ms. Vinita Samarasinghe, NB 3/26, samarasinghe@inir.rub.de
Office hours: by appointment only
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