Kendrick Kay, Ph.D.
March 10(Thu) - March 10(Thu), 2022
12PM
Online zoom (ID: 728-142-6028)
Neuro@noon Seminar
Date: 12:00 PM, Thursday, March 10th
Speaker: Kendrick Kay, Ph.D.
(Department of Radiology, University of Minnesota)
Title: Big-data and computational approaches in cognitive neuroscience
Abstract: In this talk, I will describe a freely available large-scale 7T fMRI dataset, termed the Natural Scenes Dataset (NSD). In NSD, whole-brain BOLD responses (1.8 mm, 1.6 s) were measured while each of 8 participants viewed 9,000-10,000 distinct color natural scenes (22,500-30,000 trials) over the course of 30-40 scan sessions. To optimally process these unique data, we developed several novel denoising and estimation techniques, which can be applied to other experiments to improve signal-to-noise ratio. I will provide previews of how we and our collaborators are using NSD to address specific scientific questions. Finally, I hope to seed discussion of big-picture issues and a broader consideration of the relevance of NSD (and other like-minded datasets) for advancing cognition and neuroscience.