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RDAR Seminar with Matt Johnson

Multivariate Pattern Analysis and Deep Learning in Cognitive Neuroscience

Date:
Time:
3:30 pm – 5:00 pm
Oldfather Hall Room: 430G
660 N 12th St
Lincoln NE 68508
Additional Info: OLDH
Contact:
Kali Patterson, kpatterson2@unl.edu
Rural Drug Addiction Research Center 2020 Seminar Series

Dr. Matthew Johnson’s research focuses on the neural and cognitive mechanisms of reflective (e.g., working memory) and perceptual (e.g., high-level vision) mental processes, interactions between reflective and perceptual processing, and how attention operates in each domain. His lab uses a combination of functional MRI, EEG, and behavioral methods, in conjunction with advanced analysis techniques like multivariate pattern analysis (MVPA). More recently, they have begun exploring how deep learning methods might be used to improve MVPA and have developed a toolbox that facilitates the application of deep learning to cognitive neuroscience data and other similarly large datasets. This talk will present the basics of MVPA and deep learning, review some of the Johnson lab’s prior work in those domains, introduce the audience to their toolbox, and show some of the new analysis techniques they have developed with it.

Additional Public Info:
We will also be live-streaming the talk. You can join by using the following Zoom connection:

https://unl.zoom.us/j/781240659 OR dial by your location, Meeting ID: 781 240 659
+1 669 900 6833 US (San Jose), +1 646 876 9923 US (New York)

The recorded talk will be available on the RDAR Center web-page shortly after the event: https://rdar.unl.edu/rdar-seminar-series.

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