{"id":1512,"date":"2020-10-01T16:19:47","date_gmt":"2020-10-01T13:19:47","guid":{"rendered":"http:\/\/robotics.innopolis.university\/?post_type=project&#038;p=1512"},"modified":"2020-10-01T16:19:47","modified_gmt":"2020-10-01T13:19:47","slug":"english-development-of-methods-for-the-analysis-of-neuroimaging-data-to-identify-processes-in-the-human-brain-during-motor-activity-for-the-development-of-brain-computer-interfaces","status":"publish","type":"project","link":"https:\/\/robotics.innopolis.university\/en\/project\/english-development-of-methods-for-the-analysis-of-neuroimaging-data-to-identify-processes-in-the-human-brain-during-motor-activity-for-the-development-of-brain-computer-interfaces\/","title":{"rendered":"Development of methods for the analysis of neuroimaging data to identify processes in the human brain during motor activity for the development of brain-computer interfaces"},"content":{"rendered":"<p>The project is aimed at developing methods based on a combination of machine learning approaches and estimation of oscillation sources and time-frequency analysis, for the effective determination of the kind and type of imaginary movement made by the operator based on the registered EEG\/MEG signals<\/p>","protected":false},"featured_media":0,"template":"","meta":[],"tags":[],"_links":{"self":[{"href":"https:\/\/robotics.innopolis.university\/en\/wp-json\/wp\/v2\/project\/1512"}],"collection":[{"href":"https:\/\/robotics.innopolis.university\/en\/wp-json\/wp\/v2\/project"}],"about":[{"href":"https:\/\/robotics.innopolis.university\/en\/wp-json\/wp\/v2\/types\/project"}],"wp:attachment":[{"href":"https:\/\/robotics.innopolis.university\/en\/wp-json\/wp\/v2\/media?parent=1512"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/robotics.innopolis.university\/en\/wp-json\/wp\/v2\/tags?post=1512"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}