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  • Interdisciplinary Workshop on Computational Neurology

Interdisciplinary Workshop on Computational Neurology

Dates: 10.4 (onsite), 17.4 (onsite), 24.4 (online), 8.5 (online), 22.5 (onsite), 12.6 (onsite), 26.6 (onsite)

Time: 13:30-15:30 with 20min break inbetween, self-organized group work with about 3 hours/weeks

Work load: 6 CP

Venue: Building MB (South entrance), Floor 6, Seminar Room, Ruhr University Bochum

Lecturers: Prof. Dr. Xenia Kobeleva, Dr. Nikolai Syrov (computationalneurology.com)

This is a perfect starter course to understand more about modeling and computational concepts in neurology. Hands-on guidance and practice ensure mastery of critical concepts in neuroscience, while we correct different levels of previous knowledge.  Our group projects help you to develop real life experience and your own ideas into models! The course is open to students from various disciplines and thus gives an opportunity for interdisciplinary team work.

Registration Information:

This is a course with limited spaces with strict selection of participants. For registration (and inquiries), please send us an email until 31.03.2026 with your university, full name, field of study + semester, between 3 and 5 sentences about why you want to attend and why you should be accepted to the course (what can you bring to the group work) and one sentence on your previous knowledge in neuroscience and programming and whether you want to attend the programming day. In your statement we ask you to confirm that you will attend all sessions and participate in the group work. Please send all the information to: computationalneurology@ruhr-uni-bochum.de

: mail@computationalneurology.com

Lecturers

Details

Course type
Project seminar
Credits
6
Term
Summer Term 2026

The Institut für Neuroinformatik (INI) is a research unit of the Faculties of Computer Science and Medicine at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and 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 psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.

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

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