neuroRL
Fabian Sinz
machine learning for neural data
visual cortex models
neural system identification
biological computation
Sinz leads the Neuronal Intelligence Group at the University of Göttingen, developing data-driven digital twins and machine-learning models of neural population activity to study biological intelligence and behaviour.
Pros
- Strong machine-learning-for-neural-data group with high-impact visual-cortex models
- Good presence at NeurIPS and neuroscience venues with a modern data-driven approach
- Solid neural system-identification and digital-twin expertise
A quick heads-up: This list is a work in progress! The focus tags and pros are AI-generated, so they might occasionally miss the mark. If you spot any missing labs, notice an error, or have ideas for improvements, please feel free to open a pull request. We’d love your help making this better!