Abstract
Several studies in the field of computational psychiatry focus on modeling diseases using reinforcement learning. This study aims to model through reinforcement learning using real data of stochastic reward with regards to the placebo effect. More specifically, we model the placebo effect using real data related to the non-invasive brain stimulation technique. In contrast to human data, the results of the machine learning approach showed no difference owing to the differences in the placebo effect.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.