{"364521":{"#nid":"364521","#data":{"type":"event","title":"Biomedical Engineering Seminar","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003E\u201cSpike Generation via Slow Network Integration and Fast Neural Integration in Awake Brain\u201d\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E\u003Cbr \/\u003E\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAnnabelle Singer, Ph.D.*\u003Cbr \/\u003E Postdoctoral Fellow\u003Cbr \/\u003E McGovern Institute for Brain Research\u003Cbr \/\u003E Massachusetts Institute of Technology Media Lab\u003Cbr \/\u003E\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E\u003Cbr \/\u003E\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESeminar will be made available via videoconference in the Health Sciences Research Building, room E 160 and Technology Enterprise Park, room 104.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ENeural codes have long been examined at the spiking level revealing how such activity, from single to hundreds of cells, relates to behavior. These codes are communicated through synaptic connections from one cell to another. Ultimately the significance of these codes, how they are decoded and propagated, depends on how neurons receive and respond to synaptic inputs. Extensive work in vitro on how neurons respond to synaptic inputs has focused on fast neural integration, in which neurons integrate subthreshold activity within a few milliseconds toward spike threshold. However little is known about this process in awake animals when both the biophysics of the cell and the patterns of inputs the cell receives are fundamentally different. In the awake brain, we have found that neurons consistently exhibit gradual rises in voltage, lasting up to hundreds of milliseconds, before fast rises in voltage that precede spikes. Indeed, fast rises rarely yield spikes unless they are preceded by a gradual rise, and spike occurrences can be predicted to some extent from the amplitude and duration of the gradual rise alone. These slow rises precede spikes in neurons of multiple brain regions of awake mice, the cortex as well as the hippocampus, and in multiple network and behavioral states, revealing a degree of generality to these findings. Recordings using a multiple-neuron version of our automatic patch clamp robot show that these gradual rises are often coordinated across nearby cells, whereas fast rises are cell-specific. This suggests that slower, network-level integration interacts with faster, classical integration within single neurons to generate spike patterns. In this way network activity, perhaps population codes that occur over tens to hundreds of milliseconds, may gate whether subsequent cell-specific inputs result in a spike.\u0026nbsp; In future work, we will further develop this in vivo robotic approach and elucidate fundamental mechanisms of awake brain computation and their role in behavior and disease.\u003C\/p\u003E\u003Cp\u003EFaculty Host: \u003Ca href=\u0022https:\/\/bme.gatech.edu\/bme\/faculty\/Lena-H.-Ting\u0022\u003ELena Ting, Ph.D.\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EBiomedical Engineering Seminar\u0026nbsp;\u0026nbsp;- \u0022Spike Generation via Slow Network Integration and Fast Neural Integration in Awake Brain\u0022 - Annabelle Singer, Ph.D., Massachusetts Institute of Technology Media Lab\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"\u0022Spike Generation via Slow Network Integration and Fast Neural Integration in Awake Brain\u0022 - Annabelle Singer, Ph.D. - Massachusetts Institute of Technology Media Lab"}],"uid":"27159","created_gmt":"2015-01-14 15:40:54","changed_gmt":"2017-04-13 21:20:38","author":"Vickie Okrzesik","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2015-01-29T12:00:00-05:00","event_time_end":"2015-01-29T13:00:00-05:00","event_time_end_last":"2015-01-29T13:00:00-05:00","gmt_time_start":"2015-01-29 17:00:00","gmt_time_end":"2015-01-29 18:00:00","gmt_time_end_last":"2015-01-29 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1254","name":"Wallace H. Coulter Dept. of Biomedical Engineering"}],"categories":[],"keywords":[{"id":"1613","name":"Biomedical Engieering"},{"id":"12243","name":"brain research"},{"id":"114641","name":"Neural codes"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EFaculty Host: \u003Ca href=\u0022mailto:lena.ting@bme.gatech.edu\u0022\u003ELena Ting, Ph.D.\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}