- When
- Wednesday, May 14, 2025, 3:30 – 4:30 pm
- Event interval
- Single day event
- Campus location
- Kincaid Hall (KIN)
- Campus room
- KIN 102/108
- Accessibility contact
- chairpsy@uw.edu
- Event types
- Lectures/Seminars
- Event sponsors
- Department of Psychology
- Description
The many uses of AI in neuroimaging data analysis
Ariel Rokem, Ph.D., Research Associate Professor, Department of Psychology, University of WashingtonNeuroimaging data contains enormous amounts of information about brain structure and function. To address the challenges of neuroimaging data analysis -- the high dimensionality of the data, the scale of modern neuroimaging datasets, and its inherent complexity, we use a range of Artificial Intelligence (AI) methods. In our hands, these methods enable scalable research pipelines, uncover complex relationships in data, and extract new kinds of biological information from existing data. I will demonstrate these applications of AI with a few projects that my group has executed in the last few years. One of the challenges of these methods is their lack of transparency and interpretability, and I will also show how we address these challenges using methods for AI interpretation. Finally, new AI models and methods promise to represent generalizable knowledge about brain structure and function that can be applied to many different questions. I will discuss ongoing and future work that aims to deliver on this promise.
This free lecture is part of the promotion review for Dr. Rokem in the Department of Psychology.
Committee chair: Scott Murray, somurray@uw.edu
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