Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A massive 7T fMRI dataset to bridge cognitive and computational neuroscience

Emily J. Allen, Ghislain St-Yves, Yihan Wu, Jesse L. Breedlove, Logan T. Dowdle, View ORCID ProfileBrad Caron, Franco Pestilli, Ian Charest, J. Benjamin Hutchinson, Thomas Naselaris, View ORCID ProfileKendrick Kay
doi: https://doi.org/10.1101/2021.02.22.432340
Emily J. Allen
1Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
2Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ghislain St-Yves
3Department of Neuroscience, Medical University of South Carolina, Charleston, South Carolina, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yihan Wu
4Graduate Program in Cognitive Science, University of Minnesota, Minneapolis, Minnesota, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jesse L. Breedlove
3Department of Neuroscience, Medical University of South Carolina, Charleston, South Carolina, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Logan T. Dowdle
5Department of Neuroscience, Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA
6Department of Neurosurgery, Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Brad Caron
7Program in Neuroscience, Indiana University, Indiana, USA
8Program in Vision Science, Indiana University, Indiana, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Brad Caron
Franco Pestilli
9Department of Psychology, University of Texas at Austin, Texas, USA
10Center for Perceptual Systems, University of Texas at Austin, Texas, USA
11Institute for Neuroscience, University of Texas at Austin, Texas, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ian Charest
12Center for Human Brain Health, University of Birmingham, Birmingham, UK
13School of Psychology, University of Birmingham, Birmingham, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
J. Benjamin Hutchinson
14Department of Psychology, University of Oregon, Eugene, Oregon, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Thomas Naselaris
3Department of Neuroscience, Medical University of South Carolina, Charleston, South Carolina, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kendrick Kay
1Center for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, Minneapolis, Minnesota, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kendrick Kay
  • For correspondence: kay@umn.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Data/Code
  • Preview PDF
Loading

Abstract

Extensive sampling of neural activity during rich cognitive phenomena is critical for robust understanding of brain function. We present the Natural Scenes Dataset (NSD), in which high-resolution fMRI responses to tens of thousands of richly annotated natural scenes are measured while participants perform a continuous recognition task. To optimize data quality, we develop and apply novel estimation and denoising techniques. Simple visual inspections of the NSD data reveal clear representational transformations along the ventral visual pathway. Further exemplifying the inferential power of the dataset, we use NSD to build and train deep neural network models that predict brain activity more accurately than state-of-the-art models from computer vision. NSD also includes substantial resting-state and diffusion data, enabling network neuroscience perspectives to constrain and enhance models of perception and memory. Given its unprecedented scale, quality, and breadth, NSD opens new avenues of inquiry in cognitive and computational neuroscience.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵* Co-senior author

  • http://naturalscenesdataset.org

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted February 22, 2021.
Download PDF
Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A massive 7T fMRI dataset to bridge cognitive and computational neuroscience
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A massive 7T fMRI dataset to bridge cognitive and computational neuroscience
Emily J. Allen, Ghislain St-Yves, Yihan Wu, Jesse L. Breedlove, Logan T. Dowdle, Brad Caron, Franco Pestilli, Ian Charest, J. Benjamin Hutchinson, Thomas Naselaris, Kendrick Kay
bioRxiv 2021.02.22.432340; doi: https://doi.org/10.1101/2021.02.22.432340
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
A massive 7T fMRI dataset to bridge cognitive and computational neuroscience
Emily J. Allen, Ghislain St-Yves, Yihan Wu, Jesse L. Breedlove, Logan T. Dowdle, Brad Caron, Franco Pestilli, Ian Charest, J. Benjamin Hutchinson, Thomas Naselaris, Kendrick Kay
bioRxiv 2021.02.22.432340; doi: https://doi.org/10.1101/2021.02.22.432340

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3602)
  • Biochemistry (7569)
  • Bioengineering (5524)
  • Bioinformatics (20792)
  • Biophysics (10328)
  • Cancer Biology (7980)
  • Cell Biology (11638)
  • Clinical Trials (138)
  • Developmental Biology (6603)
  • Ecology (10202)
  • Epidemiology (2065)
  • Evolutionary Biology (13617)
  • Genetics (9541)
  • Genomics (12847)
  • Immunology (7921)
  • Microbiology (19541)
  • Molecular Biology (7657)
  • Neuroscience (42095)
  • Paleontology (308)
  • Pathology (1258)
  • Pharmacology and Toxicology (2202)
  • Physiology (3267)
  • Plant Biology (7041)
  • Scientific Communication and Education (1294)
  • Synthetic Biology (1951)
  • Systems Biology (5426)
  • Zoology (1117)