{"678424":{"#nid":"678424","#data":{"type":"event","title":"Neuro Next Seminar","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ELeila Wehbe\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003EAssociate Professor\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003EDepartment of Machine Learning\u0026nbsp;\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003ECarnegie Mellon University\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ETo participate virtually, \u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/97323152600\u0022\u003E\u003Cstrong\u003ECLICK HERE\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EResearch Overview\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EWehbe uses functional Magnetic Resonance Imaging (fMRI) and Magnetoencephalography (MEG) to investigate how the brain represents complex meaning in everyday life.\u003C\/p\u003E\u003Cp\u003EFMRI and MEG record brain activity but yield very high dimensional, noisy images that are expensive to acquire. The number of data points in a typical experiment is therefore many orders of magnitude smaller than the number of data dimensions. Furthermore, there is a considerable subject-to-subject variability of brain anatomy. Combining data from multiple subjects is consequently a hard problem. Part of my work is finding machine learning solutions to these problems.\u003C\/p\u003E\u003Cp\u003EAnother part of my work is defined by the complexity of language and the non-existence of a comprehensive model of meaning composition: we do not know how the meaning of successive words combine to form the meaning of a sentence. Investigating the brain representation of a sentence is therefore a complex task because we are both looking for the neural signature and trying to approximate the composition function. However, with appropriate experimental design and computational models, we can study both problems: we can use existing models of language to study the brain representation of meaning, and we can use brain data to evaluate different meaning composition hypotheses. This research direction naturally intersects with new AI models of language and other modalities.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EThis seminar is co-sponsored by the Center for Computational Cognition (CoCo)\u003C\/em\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EFaculty Host: Anna Ivanova\u003C\/strong\u003E\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u0022Learning Representations of Complex Meaning in the Human Brain\u0022\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"\u0022Learning Representations of Complex Meaning in the Human Brain\u0022"}],"uid":"36514","created_gmt":"2024-11-13 18:52:08","changed_gmt":"2024-11-15 19:31:27","author":"speterson66","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-24T11:15:00-05:00","event_time_end":"2025-02-24T12:15:00-05:00","event_time_end_last":"2025-02-24T12:15:00-05:00","gmt_time_start":"2025-02-24 16:15:00","gmt_time_end":"2025-02-24 17:15:00","gmt_time_end_last":"2025-02-24 17:15:00","rrule":null,"timezone":"America\/New_York"},"location":"Petit Biotechnology Building, 315 Ferst Drive, NW, Suddath Seminar Room 1128, Atlanta, GA 30332","extras":[],"groups":[{"id":"66220","name":"Neuro"}],"categories":[],"keywords":[{"id":"172970","name":"go-neuro"},{"id":"187423","name":"go-bio"},{"id":"189814","name":"go-researchevents"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:sarahpeterson@gatech.edu\u0022\u003ESarah Peterson\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}