Reinforcement Learning Framework for Deep Brain Stimulation Study

Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
Malfunctioning neurons in the brain sometimes operate synchronously, reportedly causing many neurological diseases, e.g. Parkinson's. Suppression and control of this collective synchronous activity are therefore of great importance for neuroscience, and can only rely on limited engineering trials due to the need to experiment with live human brains. We present the first Reinforcement Learning (RL) gym framework that emulates this collective behavior of neurons and allows us to find suppression
more » ... arameters for the environment of synthetic degenerate models of neurons. We successfully suppress synchrony via RL for three pathological signaling regimes, characterize the framework's stability to noise, and further remove the unwanted oscillations by engaging multiple PPO agents.
doi:10.24963/ijcai.2020/390 dblp:conf/ijcai/Simmons-EdlerEY20 fatcat:z3q4ncdsfrdmhdcu3jdwsyn6pq