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

Details

Course type
Lectures
Credits
6
Term
Summer Term 2022
E-Learning
moodle course available

Dates

Lecture
Takes place every week on Monday from 16:00 to 18:00 in room online.
First appointment is on 04.04.2022
Last appointment is on 04.04.2022
Exercise
Takes place every week on Friday from 10:00 to 12:00 in room online.
First appointment is on 08.04.2022
Last appointment is on 08.04.2022
Exercise
Takes place every week on Friday from 10:00 to 12:00 in room NB 3/57.
First appointment is on 22.04.2022
Last appointment is on 15.07.2022
Lecture
Takes place every week on Friday from 10:00 to 12:00 in room IC 03/444-414.
First appointment is on 11.04.2022
Last appointment is on 15.07.2022

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

About the INI

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.

Contact

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

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

sekretariat@ini.rub.de
www.ini.rub.de