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 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