Cited by 78Visual perception and processing mechanismsNeuroscience and Neuropharmacology ResearchFace Recognition and Perception

The DOI matches its Crossref record.

Single-unit and 2-deoxyglucose studies of side inhibition in macaque striate cortex.

Open access
Born, R T, Tootell, R B·1991·Proceedings of the National Academy of Sciences

Abstract

In the course of studies to map spatial frequency tuning of neurons in layers 2 and 3 of macaque striate cortex, we found that a high proportion (70%) of cells in the interblob regions responded poorly to full-field gratings, compared with responses to single bars, edges, or delimited gratings. This was most often due to side inhibition, in which increasing the number of cycles of a grating placed within the cell's receptive field causes progressive inhibition of response. Quantitative receptive-field mappings showed, however, that the inhibition can occur within the region activated by a bar, as well as beyond it. The inhibition appears to be orientation-selective, in that a surround grating was more effective at inhibiting the response to a center grating patch if it was of similar orientation. 2-Deoxyglucose experiments confirmed that side inhibition is very widespread in the interblobs of layers 2 and 3 and suggested that it is reduced or lacking in layers 4A through 6. Since layers 2 and 3 of striate cortex are the major source of cortical projections to area V2 and beyond, the prevalence of side stopping in these laminae has implications for theories of cortical visual function. Side-stopped interblob cells may be acting as "contour-pass filters" that filter out redundant information in textured or noisy surfaces, focusing subsequent form processing on contrasts corresponding to object boundaries.

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 · 10.1073/pnas.88.16.7071

Cites

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Receptive field size of neurons increases dramatically along successive visual areas in both dorsal and ventral streams.

    “The size of the receptive fields of neurons increases dramatically as one traverses successive visual areas along the two visual streams”

    From Hierarchical Bayesian inference in the visual cortex (2003) · cites this paper as [42]

    The available Abstract describes receptive-field mapping and side inhibition in macaque striate cortex, but does not compare receptive-field sizes across successive visual areas. Searches for dorsal and ventral streams and for increasing field size found only the Abstract and references; the article body is not present in the passages returned from our copy. (LLM, conf=0.70)

    Experimental — accuracy not yet measured
  • Representations in the early visual areas (LGN, V1, and V2) are precise in both space and feature domains because of their small receptive fields arranged in retinotopic coordinates.

    “Representations in the early visual areas (LGN, V1, and V2) are precise in both space and feature domains because of their small receptive fields arranged in retinotopic coordinates. 42”

    From Hierarchical Bayesian inference in the visual cortex (2003) · cites this paper as [42]

    The indexed Abstract (page not given) describes receptive-field mapping and orientation-selective inhibition in macaque striate cortex, and mentions projections to V2. It does not address whether LGN, V1, and V2 have precise spatial and feature representations because of small, retinotopically arranged receptive fields. Searches for retinotopic coordinates and LGN yielded no passage establishing that claim. (LLM, conf=0.72)

    Experimental — accuracy not yet measured

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

No references could be resolved yet.

Research works printed but not linked: 25

  1. ATTNEAVE F. Some informational aspects of visual perception. Psychol Rev. 1954 May;61(3):183–193. doi: 10.1037/h0054663. [DOI] [PubMed] [Google Scholar] · DOI
  2. Albus K., Fries W. Inhibitory sidebands of complex receptive fields in the cats striate cortex. Vision Res. 1980;20(4):369–372. doi: 10.1016/0042-6989(80)90024-3. [DOI] [PubMed] [Google Scholar] · DOI
  3. Bishop P. O., Coombs J. S., Henry G. H. Receptive fields of simple cells in the cat striate cortex. J Physiol. 1973 May;231(1):31–60. doi: 10.1113/jphysiol.1973.sp010218. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  4. Blakemore C., Tobin E. A. Lateral inhibition between orientation detectors in the cat's visual cortex. Exp Brain Res. 1972;15(4):439–440. doi: 10.1007/BF00234129. [DOI] [PubMed] [Google Scholar] · DOI
  5. Bolz J., Gilbert C. D. Generation of end-inhibition in the visual cortex via interlaminar connections. 1986 Mar 27-Apr 2Nature. 320(6060):362–365. doi: 10.1038/320362a0. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
  6. Born R. T., Tootell R. B. Spatial frequency tuning of single units in macaque supragranular striate cortex. Proc Natl Acad Sci U S A. 1991 Aug 15;88(16):7066–7070. doi: 10.1073/pnas.88.16.7066. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  7. De Valois R. L., Thorell L. G., Albrecht D. G. Periodicity of striate-cortex-cell receptive fields. J Opt Soc Am A. 1985 Jul;2(7):1115–1123. doi: 10.1364/josaa.2.001115. [DOI] [PubMed] [Google Scholar] · DOI
  8. Ferster D. A comparison of binocular depth mechanisms in areas 17 and 18 of the cat visual cortex. J Physiol. 1981 Feb;311:623–655. doi: 10.1113/jphysiol.1981.sp013608. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  9. Fries W., Albus K., Creutzfeldt O. D. Effects of interacting visual patterns on single cell responses in cats striate cortex. Vision Res. 1977;17(9):1001–1008. doi: 10.1016/0042-6989(77)90002-5. [DOI] [PubMed] [Google Scholar] · DOI
  10. Gaska J. P., Jacobson L. D., Pollen D. A. Response suppression by extending sine-wave gratings within the receptive fields of neurons in visual cortical area V3A of the macaque monkey. Vision Res. 1987;27(10):1687–1692. doi: 10.1016/0042-6989(87)90098-8. [DOI] [PubMed] [Google Scholar] · DOI
  11. Gilbert C. D., Wiesel T. N. Clustered intrinsic connections in cat visual cortex. J Neurosci. 1983 May;3(5):1116–1133. doi: 10.1523/JNEUROSCI.03-05-01116.1983. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  12. Gilbert C. D., Wiesel T. N. The influence of contextual stimuli on the orientation selectivity of cells in primary visual cortex of the cat. Vision Res. 1990;30(11):1689–1701. doi: 10.1016/0042-6989(90)90153-c. [DOI] [PubMed] [Google Scholar] · DOI
  13. Grossberg S., Mingolla E. Neural dynamics of form perception: boundary completion, illusory figures, and neon color spreading. Psychol Rev. 1985 Apr;92(2):173–211. [PubMed] [Google Scholar]
  14. Grossberg S., Mingolla E., Todorović D. A neural network architecture for preattentive vision. IEEE Trans Biomed Eng. 1989 Jan;36(1):65–84. doi: 10.1109/10.16450. [DOI] [PubMed] [Google Scholar] · DOI
  15. Jones B. H. Responses of single neurons in cat visual cortex to a simple and a more complex stimulus. Am J Physiol. 1970 Apr;218(4):1102–1107. doi: 10.1152/ajplegacy.1970.218.4.1102. [DOI] [PubMed] [Google Scholar] · DOI
  16. Maffei L., Fiorentini A. The unresponsive regions of visual cortical receptive fields. Vision Res. 1976;16(10):1131–1139. doi: 10.1016/0042-6989(76)90253-4. [DOI] [PubMed] [Google Scholar] · DOI
  17. Martin K. A., Whitteridge D. Form, function and intracortical projections of spiny neurones in the striate visual cortex of the cat. J Physiol. 1984 Aug;353:463–504. doi: 10.1113/jphysiol.1984.sp015347. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  18. Nelson J. I., Frost B. J. Orientation-selective inhibition from beyond the classic visual receptive field. Brain Res. 1978 Jan 13;139(2):359–365. doi: 10.1016/0006-8993(78)90937-x. [DOI] [PubMed] [Google Scholar] · DOI
  19. Rockland K. S., Lund J. S. Intrinsic laminar lattice connections in primate visual cortex. J Comp Neurol. 1983 May 20;216(3):303–318. doi: 10.1002/cne.902160307. [DOI] [PubMed] [Google Scholar] · DOI
  20. Schiller P. H., Finlay B. L., Volman S. F. Quantitative studies of single-cell properties in monkey striate cortex. III. Spatial frequency. J Neurophysiol. 1976 Nov;39(6):1334–1351. doi: 10.1152/jn.1976.39.6.1334. [DOI] [PubMed] [Google Scholar] · DOI
  21. Tootell R. B., Hamilton S. L., Silverman M. S., Switkes E. Functional anatomy of macaque striate cortex. I. Ocular dominance, binocular interactions, and baseline conditions. J Neurosci. 1988 May;8(5):1500–1530. doi: 10.1523/JNEUROSCI.08-05-01500.1988. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  22. Tootell R. B., Silverman M. S., Hamilton S. L., Switkes E., De Valois R. L. Functional anatomy of macaque striate cortex. V. Spatial frequency. J Neurosci. 1988 May;8(5):1610–1624. doi: 10.1523/JNEUROSCI.08-05-01610.1988. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  23. Ts'o D. Y., Gilbert C. D., Wiesel T. N. Relationships between horizontal interactions and functional architecture in cat striate cortex as revealed by cross-correlation analysis. J Neurosci. 1986 Apr;6(4):1160–1170. doi: 10.1523/JNEUROSCI.06-04-01160.1986. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
  24. Westheimer G. Simultaneous orientation contrast for lines in the human fovea. Vision Res. 1990;30(11):1913–1921. doi: 10.1016/0042-6989(90)90167-j. [DOI] [PubMed] [Google Scholar] · DOI
  25. von der Heydt R., Peterhans E. Mechanisms of contour perception in monkey visual cortex. I. Lines of pattern discontinuity. J Neurosci. 1989 May;9(5):1731–1748. doi: 10.1523/JNEUROSCI.09-05-01731.1989. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI

Cited by

Sorted by citations

Metadata

Authors
Born, R. T., & Tootell, R. B.
Affiliations
Harvard University (US)
Venue
Proceedings of the National Academy of Sciences
Published
1991-08-15
Volume
88
Issue
16
Pages
7071-7075
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2040500739
Cited by
78
References
0
Citations by year
2026: 2 · 2024: 1 · 2022: 1 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 1 · 2014: 1
FWCI
2.34
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (2r01ey007980-08a2)
  • National Institute of Mental Health (T32MH014275, MH14275-15)
  • National Eye Institute (EY-07980)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords
primary visual cortex, macaque visual cortex, spatial frequency tuning, orientation selectivity, receptive field mapping, 2-deoxyglucose, cortical layers, V2, visual form processing
MeSH terms
Animals, Brain Mapping, Deoxyglucose, Macaca fascicularis, Models, Neurological, Neurons, Photic Stimulation, Space Perception, Visual Cortex, Vision, Monocular

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