Math Colloquium: Data science applications and challenges in brain science
School of Mathematical Sciences Colloquium
Data science applications and challenges in brain science
Dr. Jason Ritt
Scientific Director of Quantitative Neuroscience
Carney Institute for Brain Science Associate Professor of Research
Department of Neuroscience Brown University
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Abstract:
Brain science draws on a wide array of disciplines, from psychology to physiology to genetics to computational modeling and more, demonstrating the challenge of mechanistically connecting extraordinarily complex neural systems to behavior and subjective experience. In the last decade, due in part to the BRAIN Initiative and to a proliferation of powerful new open source tools, the scale and sophistication of brain science experiments rapidly expanded, creating new data analysis and computational problems not met within these traditionally organized fields. I will describe experimental and theoretical brain science applications and highlight opportunities and challenges for data science to contribute to our understanding of the function of neural systems.
Speaker Bio:
Dr. Ritt is the Scientific Director of Quantitative Neuroscience in the Carney Institute for Brain Research at Brown University. His primary research areas include the neural basis of active touch, dynamical models of neural systems, and neural engineering for brain stimulation and control. Within the Carney, he collaboratively supports research and quantitative training across institute-affiliated labs working in neuroscience, cognitive science, molecular biology, linguistics, and other fields spanning the Carney mission.
Intended Audience:
Undergraduates, graduates, and experts. Those with interest in the topic.
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Event Snapshot
When and Where
Who
Open to the Public
Interpreter Requested?
No