Open Neural Data
Content
In November 2022 the International Brain Laboratory has released an unprecedented Big Open data set with brain recordings. In an international collaboration between 12 different research groups neural activity in 194 different brain regions (that's basically all of them!) was recorded in mice performing a standardized decision-making task. The data contains activity of 32784 neurons, which allows, for the first time, to examine how activity in any part of the brain is related to sensory, cognitive, and motor processing. For the published data the Open Neurophysiology Environment (ONE) API is available to access and process the different types of data files. In this computer programming practical you will learn about the research questions surrounding this exciting dataset and how to access and process the data. First, we will study the available documentation about the data set and the provided API, and learn the basics about brain recordings. Second, we will access and process the data so that it can be analysed. Finally, we will apply modern data science methods (such as clustering, dimensionality reduction, or computational statistics) to analyse the data and learn about information processing in the brain.
Learning Outcomes
- obtain hands-on skills in accessing and processing of Big Open Data
- acquire relevant domain knowledge at the intersection of computer science and neuroscience
- become familiar with neural signals and how they are processed using data science methods
- visualize and interpret the results of data analysis
Examination
Exercises and reports during the semester
Enrollment
From 01/02/2026 to 01/03/2026, interested students can apply for a place in the lab course. The allocation of places will take place via the following central Moodle course of the faculty: https://moodle.ruhr-uni-bochum.de/course/view.php?id=62179.
The final allocation of places will take place by 16/03/2026 at the latest. Complete your binding registration by registering for the lab course via FlexNow. Please note that following the above steps is mandatory. Enrolment via FlexNow without prior registration via the central Moodle course is not permitted.
Lecturers
Prof. Dr. Robert SchmidtLecturer |
(+49) 234-32-27300 robert.schmidt@rub.de NB 3/68 |
Simon Nagel, M.Sc.Lecturer |
simon.nagel@rub.de NB 3/67 |
Shoto Yamada, M.Sc.Lecturer |
shoto.yamada@rub.de NB 3/67 |
Details
- Course type
- Lab courses
- Credits
- 3
- Term
- Summer Term 2026
Dates
- Lab course
-
Takes place
every week on Thursday from 10:00 to 12:00 in room IC 03/441.
First appointment is on 16.04.2026
Last appointment is on 23.07.2026
Requirements
Programming in Python, APIs
This practical course is suitable for Bachelor students.
Literature:
Link to the IBL dataset: https://int-brain-lab.github.io/iblenv/notebooks_external/data_release_brainwidemap.html
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