Modeling shared and variable information encoded in fine-scale cortical topographies
James Haxby · Dartmouth College
Tue, Dec 13, 2022 · 16:00 UTC
Information is encoded in fine-scale functional topographies that vary from brain to brain. Hyperalignment models information that is shared across brain in a high-dimensional common information space. Hyperalignment transformations project idiosyncratic individual topographies into the common model information space. These transformations contain topographic basis functions, affording estimates of how shared information in the common model space is instantiated in the idiosyncratic functional topographies of individual brains. This new model of the functional organization of cortex – as m