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Office of Neuroscience Research > Neuroscience Calendar > NIAC Series Lecture: Tal Yarkoni (University of Texas, Austin)

NIAC Series Lecture: Tal Yarkoni (University of Texas, Austin)

"Towards a turnkey solution for the analysis of naturalistic fMRI data" 

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When: Friday, December 08, 2017 at 1:30 PM to 2:30 PM
Where: NIL Large Conference Room 2311 (Medical Campus, 4525 Scott Ave.)

Dr. Tal Yarkoni, Ph.D., Research Assistant Professor in the Department of Psychology, and Director of the Psychoinformatics Lab, at the University of Texas at Austin.  The goal of the Psychoinformatics Lab is to develop and apply new methods for large-scale acquisition, organization, and synthesis of psychological data.  They do so by combining techniques from behavioral psychology, functional neuroimaging, and computer science to create new ways of exploring data and derive new insights about the human mind.  Their current research focuses on the development of a software framework for large-scale automated synthesis of functional neuroimaging data called Neurosynth, which uses text mining, meta-analysis, and machine-learning techniques.  The Psychoinformatics Lab uses “Big Data” to study personality, by routinely acquiring data from enormous datasets.  This method presents exciting new opportunities, but also raises new measurement and analysis challenges.  They are working to develop tools which can be used to acquire and analyze personality data on a large scale.  Another line of research within their Lab deals with “Open Science”, and focuses on designing and promoting alternative evaluation platforms based on recommender systems and collaborative filtering algorithms widely used in commercial web applications.  They feel that successful implementation of open evaluation platforms would improve both the pace and quality of scientific publication and evaluation.


For more information about the Neuroimaging and Informatics Analysis Center (NIAC) and for the complete schedule of Neuroinformatics Research Group (NRG) events, click here.  

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