This hybrid workshop, taking place on May 2-3, will focus on sensor technologies to improve understanding of behavior in health and disease.
The BRAIN Initiative Brain Behavior Quantification and Synchronization (BBQS) research program is focused on the development of next-gen tools, methods, and analytic approaches to quantify complex behaviors and combine them with simultaneous recordings of brain activity to improve understanding of the brain-behavior system. The workshop “Brain Behavior Quantification and Synchronization: Sensor Technologies to Capture the Complexity of Behavior” will bring together a diverse group of scientists and innovators from various fields, including sensor developers, cognitive and behavioral neuroscientists, data scientists, ethicists, computational neuroscientists, and others interested in the development of approaches to advance understanding of complex behavior in health and disease.
Workshop topics include:
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An introduction to the types and fabrication of sensors and sensing networks
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Multi-sensor integration for tracking movement; ethical, comparative, and developmental focus
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Integration of sensor information with other data streams, including brain recordings where possible to capture naturalistic behavior
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Data standardization, archiving, security, and privacy
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Featured experiments and development of computational models
This hybrid event will take place on May 2-3, 2023, from 10:00 am to 5:30 pm EDT. The agenda features presentations and commentary by BRAIN-funded researchers, including:
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John Rogers, Ph.D., Northwestern University (Session 1)
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Deblina Sarkar, Ph.D., Massachusetts Institute of Technology (Session I)
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Satrajit Ghosh, Ph.D., Massachusetts Institute of Technology (Session I and IV)
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Oliver Rübel, Ph.D., Lawrence Berkeley National Laboratory (Session IV)
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Aysegul Gunduz, Ph.D., University of Florida (Closing Panel)
For the full workshop agenda and registration information, please view the event webpage.