Home | Institut für Neuroinformatik

RUB
Institut für Neuroinformatik

Upcoming Events

An Overview of Neural and Bio-Inspired Robot

Apr 22, 12:15 PM
/
NB3/57 /hybrid

Prof. Dr. Younès Raoui

Tamas Spisak's talk: Self-orthogonalizing at

Apr 29, 12:15 PM
/
NB 3/57, online

Workplace safety briefing

May 6, 12:15 PM
/
NB 3/57, online

Prof. Dr. Laurenz Wiskott

Panel discussion: Neural manifolds

May 13, 12:15 PM
/
NB 3/57, online

Talk by Namit Mishra: To be defined

May 20, 12:15 PM
/
NB 3/57, online

Latest Publications

Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous Control
Link to Article
Maus, T., Frank, S., & Glasmachers, T.. (2026). Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous Control. http://doi.org/10.48550/ARXIV.2603.26750
Data Quality and Domain Expertise for Resilient AI Deployment
Industry 4.0 Science, 42(1), 128–135

Rath-Manakidis, P., Huick, H., Ünal, E., Krämer, B., & Wiskott, L.. (2026). Data Quality and Domain Expertise for Resilient AI Deployment. Industry 4.0 Science, 42(1), 128–135. http://doi.org/https://doi.org/10.30844/I4SE.26.1.120
Probing Length Generalization in Mamba via Image Reconstruction
Rathjens, J., Schiewer, R., Wiskott, L., & Subramoney, A.. (2026). Probing Length Generalization in Mamba via Image Reconstruction. Retrieved from https://arxiv.org/abs/2603.12499
Psychedelic 5-HT2A agonist increases spontaneous and evoked 5-Hz oscillations in visual and retrosplenial cortex
Communications Biology, 9(1)

White, C. M., Azimi, Z., Staadt, R., Song, C., Knöpfel, T., & Jancke, D.. (2026). Psychedelic 5-HT2A agonist increases spontaneous and evoked 5-Hz oscillations in visual and retrosplenial cortex. Communications Biology, 9(1). http://doi.org/10.1038/s42003-025-09492-9
Is Hierarchical Quantization Essential for Optimal Reconstruction?
In Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods- ICPRAM 2026 (pp. 671–679) SciTePress - Science and Technology Publications

link

Reyhanian, S., & Wiskott, L.. (2026). Is Hierarchical Quantization Essential for Optimal Reconstruction? In Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods- ICPRAM 2026 (pp. 671–679). SciTePress - Science and Technology Publications. http://doi.org/10.5220/0014648500004067

Upcoming Teaching Events

Computational Neuroscience: Vision and Memory

Apr 21, 14:15
/
NB 3/72

Lecture

Colloquium: Current Topics in Neuroinformatics

Apr 22, 12:00
/
NB 3/57

Seminar

Seminar Reinforcement Learning

Apr 23, 08:30
/
IC 03/441

Seminar

Mathematics for Modeling and Data Analysis

Apr 23, 09:00
/
NB 3/57

Self-study

Mathematics for Modeling and Data Analysis

Apr 23, 10:30
/
NB 3/57

Tutorial

Mathematics for Modeling and Data Analysis

Apr 23, 12:30
/
NB 3/57

Lecture

Computational Neuroscience: Single-Neuron Models

Apr 24, 08:30
/
IC 04/109

Lecture

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.

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

Latest News

Successful PhD defense: Modeling the function of episodic memory in spatial navigation: a reinforcement learning approach

Press release: How Psychedelic Drugs Affect the Brain

Successful PhD defense: Brain-wide neural correlates of post-error slowing

Congratulations, SFB 1280 has been extended and will start its third funding period in January 2026

Successful PhD Defense: New Extensions and Perspectives on Slow Feature Analysis

Upcoming Events

An Overview of Neural and Bio-Inspired Robot

Tamas Spisak's talk: Self-orthogonalizing at

Workplace safety briefing

Panel discussion: Neural manifolds

Talk by Namit Mishra: To be defined

Latest Publications

Upcoming Teaching Events

Computational Neuroscience: Vision and Memory

Colloquium: Current Topics in Neuroinformatics

Seminar Reinforcement Learning

Mathematics for Modeling and Data Analysis

Open Neural Data

Mathematics for Modeling and Data Analysis

Mathematics for Modeling and Data Analysis

Computational Neuroscience: Single-Neuron Models

About the INI

Contact