Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,286

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Identifying natural images from human brain activity

Open access
Kay, Kendrick N., Naselaris, Thomas, Prenger, Ryan J., Gallant, Jack L.·2008·Nature

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature06713

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Research works printed but not linked: 24

  1. Haynes, J. D. & Rees, G. Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nature Neurosci. 8, 686–691 (2005) · DOI · Paper page
  2. Thirion, B. et al. Inverse retinotopy: inferring the visual content of images from brain activation patterns. Neuroimage 33, 1104–1116 (2006) · DOI
  3. Cox, D. D. & Savoy, R. L. Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex. Neuroimage 19, 261–270 (2003) · DOI
  4. Haxby, J. V. et al. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 293, 2425–2430 (2001) · DOI · Paper page
  5. Haynes, J. D. & Rees, G. Decoding mental states from brain activity in humans. Nature Rev. Neurosci. 7, 523–534 (2006) · DOI
  6. Hung, C. P., Kreiman, G., Poggio, T. & DiCarlo, J. J. Fast readout of object identity from macaque inferior temporal cortex. Science 310, 863–866 (2005) · DOI · Paper page
  7. Tsao, D. Y., Freiwald, W. A., Tootell, R. B. & Livingstone, M. S. A cortical region consisting entirely of face-selective cells. Science 311, 670–674 (2006) · DOI · Paper page
  8. Wu, M. C., David, S. V. & Gallant, J. L. Complete functional characterization of sensory neurons by system identification. Annu. Rev. Neurosci. 29, 477–505 (2006) · DOI · Paper page
  9. Lee, T. S. Image representation using 2D Gabor wavelets. IEEE Trans. Pattern Anal. 18, 959–971 (1996) · DOI · Paper page
  10. DeYoe, E. A. et al. Mapping striate and extrastriate visual areas in human cerebral cortex. Proc. Natl Acad. Sci. USA 93, 2382–2386 (1996) · DOI · Paper page
  11. Engel, S. A. et al. fMRI of human visual cortex. Nature 369, 525 (1994) · DOI · Paper page
  12. Hansen, K. A., David, S. V. & Gallant, J. L. Parametric reverse correlation reveals spatial linearity of retinotopic human V1 BOLD response. Neuroimage 23, 233–241 (2004) · DOI
  13. Sereno, M. I. et al. Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. Science 268, 889–893 (1995) · DOI · Paper page
  14. Smith, A. T., Singh, K. D., Williams, A. L. & Greenlee, M. W. Estimating receptive field size from fMRI data in human striate and extrastriate visual cortex. Cereb. Cortex 11, 1182–1190 (2001) · DOI · Paper page
  15. Sasaki, Y. et al. The radial bias: a different slant on visual orientation sensitivity in human and nonhuman primates. Neuron 51, 661–670 (2006) · DOI
  16. Olman, C. A., Ugurbil, K., Schrater, P. & Kersten, D. BOLD fMRI and psychophysical measurements of contrast response to broadband images. Vision Res. 44, 669–683 (2004) · DOI
  17. Singh, K. D., Smith, A. T. & Greenlee, M. W. Spatiotemporal frequency and direction sensitivities of human visual areas measured using fMRI. Neuroimage 12, 550–564 (2000) · DOI
  18. Haynes, J. D. & Rees, G. Predicting the stream of consciousness from activity in human visual cortex. Curr. Biol. 15, 1301–1307 (2005) · DOI
  19. Heeger, D. J. & Ress, D. What does fMRI tell us about neuronal activity? Nature Rev. Neurosci. 3, 142–151 (2002) · DOI · Paper page
  20. Logothetis, N. K. & Wandell, B. A. Interpreting the BOLD signal. Annu. Rev. Physiol. 66, 735–769 (2004) · DOI · Paper page
  21. Stanley, G. B., Li, F. F. & Dan, Y. Reconstruction of natural scenes from ensemble responses in the lateral geniculate nucleus. J. Neurosci. 19, 8036–8042 (1999) · DOI
  22. Haynes, J. D., Lotto, R. B. & Rees, G. Responses of human visual cortex to uniform surfaces. Proc. Natl Acad. Sci. USA 101, 4286–4291 (2004) · DOI
  23. Rainer, G., Augath, M., Trinath, T. & Logothetis, N. K. Nonmonotonic noise tuning of BOLD fMRI signal to natural images in the visual cortex of the anesthetized monkey. Curr. Biol. 11, 846–854 (2001) · DOI
  24. Salinas, E. & Abbott, L. F. Vector reconstruction from firing rates. J. Comput. Neurosci. 1, 89–107 (1994) · DOI

Cited by

Metadata

Authors
Kay, K. N., Naselaris, T., Prenger, R. J., & Gallant, J. L.
Venue
Nature
Published
2008-03
Volume
452
Issue
7185
Pages
352-355
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2007226897
Cited by
1,286
References
7
FWCI
33.28
Type
journal article
Language
en
Open access
green
Licence
www.springer.com/tdm (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.