neuroRL
Wulfram Gerstner
reinforcement learning in the brain
spiking neural networks
synaptic plasticity
decision-making
The LCN studies reinforcement learning across biological neural networks, behaviour, brain signals, cognition, planning, and learning.
Pros
- World-leading theorist with foundational spiking-network and plasticity work
- Explicit reinforcement-learning-in-the-brain agenda gives strong RL fit
- EPFL prestige, resources and visibility
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!