Recent data-driven efforts for studying vision using 7T fMRI

Kendrick Kay

(University of Minnesota)

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Date: October 30, 2018


In this talk, I will describe some recent and ongoing projects that exploit functional magnetic resonance imaging (fMRI) at ultra-high magnetic field strength (7 Tesla). The first project is a publicly available dataset consisting of whole-brain fMRI retinotopic mapping in 181 healthy adults (1.6-mm resolution). We are currently developing tools based on manual annotations of this dataset in order to quantify topography in individual subjects. The second project investigates the nature of ultra-high-resolution fMRI measurements (0.8-mm resolution) and whether the data from this technique deliver accurate and reliable measurements of local neural activity. The third project is an upcoming effort to collect a massive dataset of whole-brain fMRI responses to natural scenes (1.8-mm resolution, 8 subjects, 10,000 images each). Through careful design of the experiment, data acquisition, and data analysis, we aim to achieve a high-quality dataset that will serve as a benchmark for computational models of visual processing in the human brain.”

Created: Wednesday, November 7th, 2018