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  3. Modelling information flow in large scale brain networks, Stefano Anzellotti, Ph.D., Saxe Lab
Department of Brain and Cognitive Sciences (BCS)
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Modelling information flow in large scale brain networks, Stefano Anzellotti, Ph.D., Saxe Lab

Add to CalendarAmerica/New_YorkModelling information flow in large scale brain networks, Stefano Anzellotti, Ph.D., Saxe Lab11/10/2015 5:00 pm11/10/2015 6:00 pmBrain and Cognitive Sciences Complex, 43 Vassar Street, McGovern Seminar Room 46-3189, Cambridge MA
November 10, 2015
5:00 pm - 6:00 pm
Location
Brain and Cognitive Sciences Complex, 43 Vassar Street, McGovern Seminar Room 46-3189, Cambridge MA
Contact
Julianne Gale
    Description

    Cognition consists of processes operating on representations. These processes are implemented by interdependent transformations of neural responses across brain regions. Modelling these transformations is necessary to understand the neural bases of cognitive processes. In this talk, I will start with a discussion of current methods used to investigate dynamic interactions between brain regions, focusing on Granger Causality and Dynamic Causal Modeling and on their strengths and limitations. I will then introduce a method we have developed to overcome these limitations. In the end, I will integrate these ideas with multi-voxel pattern analysis (MVPA) and representational geometry, reaching a synthesis of these two traditions of fMRI data analysis to study the dynamic flow of information between brain regions.

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