Finding the Elephant: Tools for Making Sense of High-dimensional Data
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Discover the best analysis techniques for your miniscope data
During this webinar, Ann Kennedy, Ph.D., discussed miniscope imaging workflows and how to choose the best analyses for the resulting data. Learn about the considerations and benefits of using neural tuning, population coding, dimensionality reduction, and single-trial analyses.
Presenter’s Abstract
I review some of the most common hurdles when interpreting neural activity data recorded from freely behaving animals with miniscopes. I review a series of analyses that can be applied to your miniscope imaging collected data, such as neural tuning, population coding, dimensionality reduction, and single-trial analyses, and address what can be gained from each technique, how it relates to other data, and what to do next.
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Speakers
Ann Kennedy, Ph.D.
Assistant Professor, Department of Physiology, Northwestern University, Feinberg School of Medicine