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Neuronal basis of contrast discrimination
Open accessAbstract
Psychophysical contrast increment thresholds were compared with neuronal responses, inferred from functional magnetic resonance imaging (fMRI) to test the hypothesis that contrast discrimination judgements are limited by neuronal signals in early visual cortical areas. FMRI was used to measure human brain activity as a function of stimulus contrast, in each of several identifiable visual cortical areas. Contrast increment thresholds were measured for the same stimuli across a range of baseline contrasts using a temporal 2AFC paradigm. FMRI responses and psychophysical measurements were compared by assuming that: (1) fMRI responses are proportional to local average neuronal activity; (2) subjects choose the stimulus interval that evoked the greater average neuronal activity; and (3) variability in the observer's psychophysical judgements was due to additive (IID) noise. With these assumptions, FMRI responses in visual areas V1, V2d, V3d and V3A were found to be consistent with the psychophysical judgements, i.e. a contrast increment was detected when the fMRI responses in each of these brain areas increased by a criterion amount. Thus, the pooled activity of large numbers of neurons can reasonably well predict behavioral performance. The data also suggest that contrast gain in early visual cortex depends systematically on spatial frequency.
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“Indeed, several studies have found good agreement between the population-level responses of gain-modulated neurons (such as the population-average contrast response function) and psychophysical performance (for example, in visual contrast discrimination) in humans and non-human primates12,20–24.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [21]
Citations
Cites
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
Ogawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., Merkle, H., & Ugurbil, K. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5951 · Cited by 3,681
Borders of Multiple Visual Areas in Humans Revealed by Functional Magnetic Resonance Imaging
Sereno, M. I., Dale, A. M., Reppas, J. B., Kwong, K. K., Belliveau, J. W., Brady, T. J., Rosen, B. R., & Tootell, R. B. H. (1995) · Science · doi:10.1126/science.7754376 · Cited by 2,663
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Boynton, G., Engel, S., Glover, G., & Heeger, D. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04207.1996 · Cited by 2,522
Self-citationNormalization of cell responses in cat striate cortex
Heeger, D. J. (1992) · Visual Neuroscience · doi:10.1017/s0952523800009640 · Cited by 1,835
Self-citationA direct demonstration of functional specialization in human visual cortex
Zeki, S., Watson, J. D. G., Lueck, C. J., Friston, K. J., Christopher Kennard, C., & Frackowiak, R. S. J. (1991) · Journal of Neuroscience · doi:10.1523/jneurosci.11-03-00641.1991 · Cited by 1,717
Softky, W., & Koch, C. (1993) · The Journal of Neuroscience · doi:10.1523/jneurosci.13-01-00334.1993 · Cited by 1,689
Research works printed but not linked: 1
- Teo, 1995, A general mechanistic model of spatial pattern detection, Investigative Opthalmology Visual Science Suppl, 36, 439
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Hess, R. F., May, K. A., & Dumoulin, S. O. (2014) · Open Access at Essex (University of Essex) · Cited by 22
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Foster, J. J., & Ling, S. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0513-22.2022 · Cited by 20
Bonny, J. W., & Lourenco, S. F. (2015) · Learning and Individual Differences · doi:10.1016/j.lindif.2015.11.001 · Cited by 22
What Is the Primary Cause of Individual Differences in Contrast Sensitivity?
Baker, D. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069536 · Cited by 22
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To, M. P. S. (2010) · Journal of Vision · doi:10.1167/10.4.12 · Cited by 24
Serences, J. T. (2011) · Neuron · doi:10.1016/j.neuron.2011.11.005 · Cited by 21
Calibrated LCD/TFT stimulus presentation for visual psychophysics in fMRI
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Bosworth, R. G., & Dobkins, K. R. (2013) · Vision Research · doi:10.1016/j.visres.2013.02.009 · Cited by 21
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Hara, Y., & Gardner, J. L. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00729.2013 · Cited by 18
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Hammett, S. T., Cook, E., Hassan, O. M., Hughes, C.-A., Rooslien, H., Tizkar, R., & Larsson, J. T. (2020) · Neuroscience Letters · doi:10.1016/j.neulet.2020.135294 · Cited by 19
Bao, P., Purington, C. J., & Tjan, B. S. (2015) · eLife · doi:10.7554/elife.09600 · Cited by 20
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Menon, R. S., & Goodyear, B. G. (2001) · doi:10.1093/acprof:oso/9780192630711.003.0007 · Cited by 18
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Development of BOLD Response to Motion in Human Infants
Biagi, L., Tosetti, M., Crespi, S. A., & Morrone, M. C. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0837-22.2023 · Cited by 17
Attenuation of the pupillary response to luminance and color changes during interocular suppression
Kimura, E., Abe, S., & Goryo, K. (2014) · Journal of Vision · doi:10.1167/14.5.14 · Cited by 17
Schumacher, J. F., Thompson, S. K., & Olman, C. A. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00019 · Cited by 16
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Farishta, R. A., Robert, C., Turcot, O., Thomas, S., Vanni, M. P., Bouchard, J., & Casanova, C. (2015) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.15-17690 · Cited by 16
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Bellot, E., Coizet, V., Warnking, J. M., Knoblauch, K., Moro, E., & Dojat, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.051 · Cited by 13
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Perry, C. J., & Fallah, M. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00092 · Cited by 15
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Ling, S., Hubert‐Wallander, B., & Blake, R. (2010) · Vision Research · doi:10.1016/j.visres.2010.09.009 · Cited by 12
Image identification from brain activity using the population receptive field model
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Norton, D. J., Jaywant, A., Gallart‐Palau, X., & Cronin‐Golomb, A. (2014) · Vision Research · doi:10.1016/j.visres.2014.12.003 · Cited by 12
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Treviño, M., Aguilar‐Garnica, E., Jendritza, P., Li, S., Oviedo, T., Köhr, G., & Marco, R. J. D. (2011) · International Archives of Medicine · doi:10.1186/1755-7682-4-26 · Cited by 11
Ding, J., Hu, X., Xu, F., Yu, H., Ye, Z., Zhang, S., Pan, H., Pan, D., Tu, Y., Zhang, Q., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-95407-7 · Cited by 11
Park, J. C., Zhang, X., Ferrera, J., Hirsch, J., & Hood, D. C. (2008) · Journal of Vision · doi:10.1167/8.10.8 · Cited by 11
Schumacher, J. F., & Olman, C. A. (2010) · Vision Research · doi:10.1016/j.visres.2010.04.005 · Cited by 11
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Kimura, E., & Young, R. S. L. (2010) · Vision Research · doi:10.1016/j.visres.2010.01.001 · Cited by 10
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Itthipuripat, S., Phangwiwat, T., Wiwatphonthana, P., Sawetsuttipan, P., Chang, K.-Y., Störmer, V. S., Woodman, G. F., & Serences, J. T. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.2192-22.2023 · Cited by 13
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Rajimehr, R., & Tootell, R. B. H. (2008) · Elsevier eBooks · doi:10.1016/b978-012370880-9.00292-9 · Cited by 11
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Kay, K. (2011) · The MIT Press eBooks · doi:10.7551/mitpress/8404.003.0009 · Cited by 10
Linking brain imaging signals to visual perception
Welchman, A. E., & Kourtzi, Z. (2013) · Visual Neuroscience · doi:10.1017/s0952523813000436 · Cited by 9
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Tong, F. (2018) · Wiley eBooks · doi:10.1002/9781119170174.epcn201 · Cited by 9
V1 neurons are tuned to perceptual borders in natural scenes
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Pokorny, V., Schallmo, M., Sponheim, S. R., & Olman, C. A. (2023) · Journal of Vision · doi:10.1167/jov.23.2.2 · Cited by 9
Ribeiro, M. J., & Castelo-Branco, M. S. (2010) · Vision Research · doi:10.1016/j.visres.2010.04.017 · Cited by 8
Hammett, S. T., Smith, A. T., Wall, M. B., & Larsson, J. T. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00359.2012 · Cited by 8
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Qin, N., Xue, J., Chen, C., & Zhang, M. (2020) · Cognitive Science · doi:10.1111/cogs.12825 · Cited by 8
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Birman, D., & Gardner, J. L. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00433.2018 · Cited by 7
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Zacharopoulos, G., Hertz, U., Kanai, R., & Bahrami, B. (2020) · Cognitive Neuroscience · doi:10.1080/17588928.2020.1828323 · Cited by 7
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Mišić, B. (2010) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.078.2009 · Cited by 6
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Bahg, G., Sederberg, P. B., Myung, J. I., Li, X., Pitt, M. A., Lu, Z., & Turner, B. M. (2020) · Computational Brain & Behavior · doi:10.1007/s42113-020-00079-7 · Cited by 6
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Lynn, C., & Curran, W. J. (2010) · Vision Research · doi:10.1016/j.visres.2010.08.007 · Cited by 6
Zuiderbaan, W., van Leeuwen, J., & Dumoulin, S. O. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01718 · Cited by 6
Differential transient MEG and fMRI responses to visual stimulation onset rate
Tuan, A. S., Birn, R. M., Bandettini, P. A., & Boynton, G. M. (2008) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.20144 · Cited by 6
Self-citationBorron, K. (2000) · Land-line · Cited by 7
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Marcar, V. L., Loenneker, T., Straessle, A., Girard, F., & Martin, E. (2004) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.02.013 · Cited by 5
Logvinenko, A. D. (2003) · Journal of Mathematical Psychology · doi:10.1016/s0022-2496(03)00048-8 · Cited by 5
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Scharff, L. F. V. (2003) · Wiley eBooks · doi:10.1002/9780470756973.ch12 · Cited by 5
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Limited Restoration of Contrast Sensitivity with Training after V1 Damage in Humans
Yang, J., Saionz, E. L., Cavanaugh, M. R., Fahrenthold, B. K., Melnick, M. D., Tadin, D., Briggs, F., Carrasco, M., & Huxlin, K. R. (2024) · eNeuro · doi:10.1523/eneuro.0020-24.2024 · Cited by 4
Palnitkar, H., Murphy, M. C., Sui, Y., Glaser, K. J., Manduca, A., Welker, K. M., Campeau, N. G., Huston, J., Ehman, R. L., & Arani, A. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00172 · Cited by 4
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Peripheral Blur Perception in Young Children at Low Risk or High Risk of Myopia: Longitudinal Data
Dhungel, D., Bex, P. J., McCullough, A., Marín‐Franch, I., & Vera‐Díaz, F. A. (2025) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.66.5.40 · Cited by 4
Metadata
- Authors
- Boynton, G. M., Demb, J. B., Glover, G. H., & Heeger, D. J.
- Affiliations
- Stanford University (US)
- Stanford Medicine (US)
- Corresponding author
- Heeger, David J.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 1999-01
- Volume
- 39
- Issue
- 2
- Pages
- 257-269
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2145425091
- Cited by
- 391
- References
- 67
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 8 · 2023: 15 · 2022: 14 · 2021: 11 · 2020: 25 · 2019: 12 · 2018: 18 · 2017: 10 · 2016: 14 · 2015: 13 · 2014: 17 · 2013: 15 · 2012: 14
- FWCI
- 7.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Vision Research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r29mh050228-05)
- National Institute of Mental Health (F32-MH10897, R29-MH50228, F32MH010897)
- National Eye Institute (R01EY011794)
- National Center for Research Resources (P41 RR-09784, P41RR009784)
- 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 › Neuroscience and Music Perception
- Keywords
- contrast discrimination, early visual cortex, primary visual cortex, V2, V3, population coding, contrast gain, spatial frequency, additive noise model
- MeSH terms
- Humans, Magnetic Resonance Imaging, Photic Stimulation, Psychophysics, Visual Cortex, Contrast Sensitivity
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 ›
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