{"id":16636,"date":"2023-01-30T15:54:59","date_gmt":"2023-01-30T20:54:59","guid":{"rendered":"http:\/\/www.bu.edu\/neuro\/?post_type=profile&#038;p=16636"},"modified":"2025-05-06T11:28:31","modified_gmt":"2025-05-06T15:28:31","slug":"brian-depasquale","status":"publish","type":"profile","link":"https:\/\/www.bu.edu\/neuro\/profile\/brian-depasquale\/","title":{"rendered":"Brian DePasquale"},"content":{"rendered":"<p><span>The DePasquale lab develops mathematical models to understand how populations of neurons perform computations to produce behavior. Broadly we take two approaches. One is data-driven: we collaborate with experimental neuroscientists to develop tailored machine learning models of neural activity to identify the algorithms that drive behaviors such as decision-making or movement. Our second approach is theoretical: we construct and analyze artificial neural network models to understand how their structure gives rise to analogous computations and other functional features observed in biological neural circuits. A key area of interest has been understanding how structured connections between neurons produce network activity that is both coherent and irregular, a common yet paradoxical feature of neural responses.<\/span><\/p>\n","protected":false},"author":20077,"template":"","_links":{"self":[{"href":"https:\/\/www.bu.edu\/neuro\/wp-json\/wp\/v2\/profile\/16636"}],"collection":[{"href":"https:\/\/www.bu.edu\/neuro\/wp-json\/wp\/v2\/profile"}],"about":[{"href":"https:\/\/www.bu.edu\/neuro\/wp-json\/wp\/v2\/types\/profile"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/neuro\/wp-json\/wp\/v2\/users\/20077"}],"version-history":[{"count":2,"href":"https:\/\/www.bu.edu\/neuro\/wp-json\/wp\/v2\/profile\/16636\/revisions"}],"predecessor-version":[{"id":16691,"href":"https:\/\/www.bu.edu\/neuro\/wp-json\/wp\/v2\/profile\/16636\/revisions\/16691"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/neuro\/wp-json\/wp\/v2\/media?parent=16636"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}