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Furthermore, we calculate error bounds on the optimal stimulus which will guarantee a minimum Lyapunov exponent. Also, a related control strategy is developed for desynchronizing neurons based on the population's phase distribution.<\/jats:p>","DOI":"10.1137\/120901702","type":"journal-article","created":{"date-parts":[[2014,3,4]],"date-time":"2014-03-04T10:51:08Z","timestamp":1393930268000},"page":"276-305","source":"Crossref","is-referenced-by-count":70,"title":["Optimal Chaotic Desynchronization for Neural Populations"],"prefix":"10.1137","volume":"13","author":[{"given":"Dan","family":"Wilson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeff","family":"Moehlis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"351","published-online":{"date-parts":[[2014,3,4]]},"reference":[{"key":"atypb1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.011911"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1162\/089976604322860668"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1007\/s00422-009-0344-3"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.3934\/dcds.2010.28.1413"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa060281"},{"key":"atypb6","doi-asserted-by":"crossref","unstructured":"B. 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