{"602692":{"#nid":"602692","#data":{"type":"event","title":"Center for Signal and Information Processing (CSIP) Seminar","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESeminar Title:\u003C\/strong\u003E \u003Cem\u003EFinding low-dimensional structure in large-scale neural recordings\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003Cbr \/\u003E\r\nImprovements in neural recording technologies have rapidly increased the number of neurons that it is now possible to record from. Along with these improvements, analyses of neural information processing are moving from single neuron to population-level analyses. One promising approach for understanding information processing across large populations of neurons is to use methods for dimensionality reduction; such approaches aim to find low-dimensional structure in the joint activity of many neurons over time. In this talk, I will describe my lab\u0026#39;s efforts to learn low-dimensional structure present in large-scale neural recordings, both from electrophysiology recordings in motor cortex and from two-photon calcium movies in primary visual cortex. Our findings suggest that dimensionality reduction techniques can be used to pull out structure from neural activity to solve a range of decoding and classification problems.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003ESpeaker\u0026rsquo;s Bio:\u003C\/strong\u003E\u003Cbr \/\u003E\r\nEva Dyer is currently an Assistant Professor in the Wallace H. Coulter Department of Biomedical Engineering at the Georgia Institute of Technology and Emory University. Eva runs the Neural Data Science (NerDS) Lab, where she and her team develop new machine learning and data science approaches for making sense of large-scale neural datasets. Before joining Georgia Tech, she was a Research Scientist in the Bayesian Behavior Lab at Northwestern University, where she worked with Konrad Kording. Eva completed all of her degrees in Electrical \u0026amp; Computer Engineering, including a Ph.D. and M.S. from Rice University, and a B.S. from University of Miami. While at Rice, she worked in the Digital Signal Processing Group with Richard Baraniuk and had the opportunity to co-develop the edX MOOC Discrete-Time Signals and Systems. During her undergraduate studies at the University of Miami, she worked as a sound designer for the award-winning documentary \u003Cem\u003EOne Water: A collaborative effort for a sustainable future\u003C\/em\u003E.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EEva Dyer will present \u0026quot;Finding low-dimensional structure in large-scale neural recordings.\u0026quot;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Eva Dyer will present \u0022Finding low-dimensional structure in large-scale neural recordings.\u0022"}],"uid":"27842","created_gmt":"2018-02-21 16:10:38","changed_gmt":"2018-02-21 16:11:03","author":"Ashlee Gardner","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-03-02T15:00:00-05:00","event_time_end":"2018-03-02T16:00:00-05:00","event_time_end_last":"2018-03-02T16:00:00-05:00","gmt_time_start":"2018-03-02 20:00:00","gmt_time_end":"2018-03-02 21:00:00","gmt_time_end_last":"2018-03-02 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMotaz Alfarraj\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003Emotaz@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}