Skip to main content
Browse by:

Effective March 10, 2020, all Duke-sponsored events over 50 people have been cancelled, rescheduled, postponed or virtualized.
Please check with the event contact regarding event status. For more information, please see

+DS IPLE: Some Examples of Machine Learning in Neuroscience

Event Image
Icon calendar
Tuesday, November 12, 2019
Icon time
4:30 pm - 6:30 pm
Icon speaker
David Carlson
Icon series
+DS In-Person Learning Experiences

Like many fields, neuroscience is experiencing a data deluge. Machine learning techniques are being used to learn better biomarkers, make sense of the brain, and automate tasks. I will introduce some of the methodology and ideas being worked on within this research area, including domain adaptation and automatic behavior extraction from video. These techniques, when harnessed correctly, can help improve the quality of information extracted from collected data and accelerate science; however, interpretation and validation pitfalls can derail researchers from making proper conclusions. I'll introduce how model validation can vary depending on the scientific hypothesis.

This session is part of the Duke+DataScience (+DS) program in-person learning experiences (IPLEs). To learn more, please visit