{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T10:19:53Z","timestamp":1779358793476,"version":"3.51.4"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>Malfunctioning neurons in the brain sometimes operate synchronously, reportedly causing many neurological diseases, e.g. Parkinson\u2019s. 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 parameters for the environment of synthetic degenerate models of neurons. We successfully suppress synchrony via RL for three pathological signaling regimes, characterize the framework\u2019s stability to noise, and further remove the unwanted oscillations by engaging multiple PPO agents.<\/jats:p>","DOI":"10.24963\/ijcai.2020\/394","type":"proceedings-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T12:12:10Z","timestamp":1594210330000},"page":"2847-2854","source":"Crossref","is-referenced-by-count":10,"title":["Reinforcement Learning Framework for Deep Brain Stimulation Study"],"prefix":"10.24963","author":[{"given":"Dmitrii","family":"Krylov","sequence":"first","affiliation":[{"name":"Skolkovo Institute of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Remi","family":"Tachet des Combes","sequence":"additional","affiliation":[{"name":"Microsoft Research Lab"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Romain","family":"Laroche","sequence":"additional","affiliation":[{"name":"Microsoft Research Lab"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Rosenblum","sequence":"additional","affiliation":[{"name":"University of Potsdam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dmitry V.","family":"Dylov","sequence":"additional","affiliation":[{"name":"Skolkovo Institute of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","theme":"Artificial Intelligence","location":"Yokohama, Japan","acronym":"IJCAI-PRICAI-2020","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2020,7,11]]},"end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:14:54Z","timestamp":1594260894000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/394"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/394","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}