Institute of Cognitive Science, Osnabrück University
Welcome to the page of the Kietzmann Lab, which is part of the Institute of Cognitive Science, Osnabrück University. Our core research focus is on NeuroAI: the joint study of computational principles underlying intelligence in brains and machines. In our research, we develop machine learning techniques to discover and model structure in high-dimensional neural data, and built functional AI models that aim to replicate core computational principles found in the brain. Please contact us with any questions or paper requests.
We are proud members of the MIND (Machine Intelligence, Neuroscience Discovery) initiative.
Click here for our Equity, Diversity, and Inclusion statement.
Research areas
Our research is situated at the interface of artificial intelligence, neuroscience, and cognitive science. First and foremost, we use AI to advance our understanding of computations in the brain. This includes large-scale modelling with deep neural networks and digital twin approaches, multivariate analyses of M/EEG, array recordings, and ultra-high-resolution fMRI data, as well as AI-based tools for brain reading and discovery in neuroscience.
At the same time, we investigate how insights from biological intelligence can inform the next generation of AI systems. Rather than relying on scale alone, we seek biologically inspired solutions to current challenges in AI, including robustness, data efficiency, model efficiency, continual learning, and flexible context-dependent computation. By studying core computational mechanisms of the brain, we aim to guide the development of more efficient and more adaptive artificial systems.
A third focus is AI for science. Here, we develop and apply AI tools that support contemporary brain research, from brain-reading and analysis pipelines to agentic AI systems capable of running autonomous, large-scale modelling experiments that are systematically evaluated against neural and behavioural data. Together, these directions define our NeuroAI approach: using AI to understand the brain, using neuroscience to improve AI, and using AI to accelerate scientific discovery.
Lab news
We got the cover of Nature Machine Intelligence. The paper studies developmental visual diets for robust machine vision.
The Kietzmann Lab is organising the third iteration of the Neuro-AI-Talks, NEAT, in Osnabrück.
