Bethge Lab
Research group bridging ML and neuroscience
Machine LearningComputational NeuroscienceNeuro AI
Introduction
Bethge Lab is a research group led by Matthias Bethge at the University of Tübingen, focusing on the intersection of machine learning and computational neuroscience. They develop ML tools for neural data analysis and draw inspiration from the brain to address key problems in ML. The lab specializes in autonomous lifelong learning from unlabeled data streams, aiming to bridge the gap between machine learning and biological systems.
Key Features
Representation learning for compression, disentangling, and OOD robustness
Probabilistic inference and OOD or few-shot generalization benchmarking
Generative and explainable modeling methods
Behavioral and neural data analysis, modeling, and tools
AI sciencepreneurship and startups
Frequently Asked Questions
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Use Cases
- Developing ML tools for neural data analysis
- Exploring novel machine learning algorithms inspired by the brain
How to Use
Explore research publications, learn about ongoing projects, collaborate with the lab on AI solutions, or participate in educational initiatives.