Technical Program

Paper Detail

Paper: RS-1A.3
Session: Late Breaking Research 1A
Location: Late-Breaking Research Area
Session Time: Thursday, September 6, 16:30 - 18:30
Presentation Time:Thursday, September 6, 16:30 - 18:30
Presentation: Poster
Paper Title: A massive benchmark high-field fMRI dataset of responses to natural scenes
Authors: Kendrick Kay, University of Minnesota, United States; Thomas Naselaris, Medical University of South Carolina, United States
Abstract: Machine learning (ML) techniques typically require far more data than is typically collected during conventional neuroscience experiments. The goal of this project is to drive the application of ML techniques to neuroscience research by generating a massive dataset of brain responses from the human visual system. Data will be collected using high-field (7 Tesla) fMRI and processed using modern pre-processing and denoising techniques. The resulting dataset will be freely available to scientists, educators, and students. We hope to foster open collaboration between neuroscientists and artificial intelligence researchers and a culture of sharing data, ideas, and progress.