Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators
Author:
Affiliation:
1. Indian Institute of Technology,Department of Electrical and Computer Engineering,Jodhpur,India
2. Texas State University,Department of Computer Science,San Marcos,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10123380/10123710/10123881.pdf?arnumber=10123881
Reference30 articles.
1. Neuronal oscillations predict deep brain stimulation outcome in Parkinson's disease
2. Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective;fan;ArXiv Preprint,2021
3. Investigating Synchronous Oscillation and Deep Brain Stimulation Treatment in A Model of Cortico-Basal Ganglia Network
4. Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning
5. A model for neuronal bursting using three coupled first order differential equations;hindmarsh;Proc Royal Society of London Series B,1984
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