Cited by 1,829Visual perception and processing mechanismsFace Recognition and PerceptionNeural dynamics and brain function

Decoding the visual and subjective contents of the human brain

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Kamitani, Yukiyasu, Tong, Frank·2005·Nature Neuroscience

Abstract

The potential for human neuroimaging to read out the detailed contents of a person's mental state has yet to be fully explored. We investigated whether the perception of edge orientation, a fundamental visual feature, can be decoded from human brain activity measured with functional magnetic resonance imaging (fMRI). Using statistical algorithms to classify brain states, we found that ensemble fMRI signals in early visual areas could reliably predict on individual trials which of eight stimulus orientations the subject was seeing. Moreover, when subjects had to attend to one of two overlapping orthogonal gratings, feature-based attention strongly biased ensemble activity toward the attended orientation. These results demonstrate that fMRI activity patterns in early visual areas, including primary visual cortex (V1), contain detailed orientation information that can reliably predict subjective perception. Our approach provides a framework for the readout of fine-tuned representations in the human brain and their subjective contents.

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Crossref · 10.1038/nn1444

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  • MVPA is more likely to reflect population codes across neurons and has greater sensitivity and specificity to particular types of mental events.

    “MVPA is more likely to reflect population codes across neurons43,45,48, as they have demonstrably greater sensitivity and specificity to particular types of mental events17,31,32.”

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Authors
Kamitani, Y., & Tong, F.
Affiliations
  • Advanced Telecommunications Research Institute International (JP)
  • Vanderbilt University (US)
Corresponding author
Kamitani, Yukiyasu
Venue
Nature Neuroscience
Published
2005-04-24
Volume
8
Issue
5
Pages
679-685
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2036084760
Cited by
1,829
References
42
Citations by year
2026: 46 · 2025: 76 · 2024: 64 · 2023: 63 · 2022: 65 · 2021: 86 · 2020: 65 · 2019: 91 · 2018: 83 · 2017: 113 · 2016: 100 · 2015: 99 · 2014: 111 · 2013: 119 · 2012: 107
FWCI
30.12
Type
journal article
Language
en
Open access
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • Japan Society for the Promotion of Science
  • National Institute of Information and Communications Technology
  • National Institute of Mental Health (P50 MH62196, P50MH062196)
  • National Eye Institute (R01-EY14202, R01EY014202)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
fMRI decoding, primary visual cortex, early visual areas, feature-based attention, orientation discrimination, visual perception
MeSH terms
Adult, Algorithms, Attention, Brain Mapping, Cognition, Evoked Potentials, Visual, Humans, Magnetic Resonance Imaging, Models, Neurological, Orientation, Pattern Recognition, Visual, Photic Stimulation, Visual Cortex, Visual Pathways, Visual Perception

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