The effects of contrast on visual orientation and spatial frequency discrimination: a comparison of single cells and behavior
Abstract
We have compared the effects of contrast on human psychophysical orientation and spatial frequency discrimination thresholds and on the responses of individual neurons in the cat's striate cortex. Contrast has similar effects on orientation and spatial frequency discrimination: as contrast is increased above detection threshold, orientation and spatial frequency discrimination performance improves but reaches maximum levels at quite low contrasts. Further increases in contrast produce no further improvements in discrimination. We measured the effects of contrast on response amplitude, orientation and spatial frequency selectivity, and response variance of neurons in the cat's striate cortex. Orientation and spatial frequency selectivity vary little with contrast. Also, the ratio of response variance to response mean is unaffected by contrast. Although, in many cells, response amplitude increases approximately linearly with log contrast over most of the visible range, some cells show complete or partial saturation of response amplitude at medium contrasts. Therefore, some cells show a clear increase in slope of the orientation and spatial frequency tuning functions with increasing contrast, whereas in others the slopes reach maximum values at medium contrasts. Using receiver operating characteristic analysis, we estimated the minimum orientation and spatial frequency differences that can be signaled reliably as a response change by an individual cell. This analysis shows that, on average, the discrimination of orientation or spatial frequency improves with contrast at low contrasts more than at higher contrasts. Using the optimal stimulus for each cell, we estimated the contrast threshold of 48 neurons. Most cells had contrast thresholds below 5%. Thresholds were only slightly higher for nonoptimal stimuli. Therefore, increasing the contrast of sinusoidal gratings above approximately 10% will not produce large increases in the number of responding cells. The observed effects of contrast on the response characteristics of nonsaturating cortical cells do not appear consistent with the psychophysical results. Cells that reach their maximum response at low-to-medium contrasts may account for the contrast independence of psychophysical orientation and spatial frequency discrimination thresholds at medium and high contrasts.
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Several studies have found good agreement between population-level responses of gain-modulated neurons and psychophysical performance in visual contrast discrimination in humans and non-human primates.
“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 [12]
Contrast-invariant orientation tuning of cortical neurons for visual stimuli is a well-characterized example of stable encoding of orientation regardless of changes in contrast.
“Contrast-invariant orientation tuning of cortical neurons for visual stimuli is a well-characterized example of stable encoding of one feature (in this case, orientation), regardless of changes in stimulus context (in this case, contrast)10–12.”
From Mechanisms underlying gain modulation in the cortex (2020) · cites this paper as [12]
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BackgroundRevisiting spatial vision: toward a unifying model
Itti, L., Christof Koch, A., & Braun, J. (2000) · Journal of the Optical Society of America A · doi:10.1364/josaa.17.001899 · Cited by 83 · see citing works
Lampl, I., Anderson, J. S., Gillespie, D. C., & Ferster, D. (2001) · Neuron · doi:10.1016/s0896-6273(01)00278-1 · Cited by 82 · see citing works
A model of contextual interactions and contour detection in primary visual cortex
Ursino, M., & Cara, G. E. L. (2004) · Neural Networks · doi:10.1016/j.neunet.2004.03.007 · Cited by 81 · see citing works
Sceniak, M. P., Hawken, M. J., & Shapley, R. M. (2002) · Journal of Neurophysiology · doi:10.1152/jn.2002.88.3.1363 · Cited by 81 · see citing works
Grossberg, S. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.8.852 · Cited by 76 · see citing works
“In the model, the outputs of LGN cells are threshold- linear, as in (6), due to the linear properties of LGN X cells, whereas the cortical outputs are represented by sigmoid signal functions (Sclar et al., 1985; Skottun et al., 1987; Maunsell et al., 1999), as in (5).”
BackgroundLi, Y.-T., Ma, W., Li, L., Ibrahim, L. A., Wang, S., & Tao, H. W. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.3221-12.2012 · Cited by 73 · see citing works
“…found to be contrast invariant, as demonstrated by a constant tuning bandwidth in the face of increasing stimulus contrast (Movshon et al., 1978; Albrecht and Hamilton, 1982; Sclar and Freeman, 1982; Li and Creutzfeldt, 1984; Skottun et al., 1987; Alitto and Usrey, 2004; Niell and Stryker, 2008).”
BackgroundUnderstanding Layer 4 of the Cortical Circuit: A Model Based on Cat V1
Miller, K. D. (2002) · Cerebral Cortex · doi:10.1093/cercor/13.1.73 · Cited by 75 · see citing works
“Such contrastinvariance has been quantitatively demonstrated for steady-state responses to drifting sinusoidal luminance gratings (Sclar and Freeman, 1982; Skottun et al., 1987; Anderson et al., 2000b).”
BackgroundDoes attention alter appearance?
Schneider, K. A. (2006) · Perception & Psychophysics · doi:10.3758/bf03193703 · Cited by 70 · see citing works
Orientation, masking, and vernier acuity for line targets
Waugh, S. J., Levi, D. M., & Carney, T. (1993) · Vision Research · doi:10.1016/0042-6989(93)90028-u · Cited by 70 · see citing works
A precise form of divisive suppression supports population coding in the primary visual cortex
MacEvoy, S. P., Tucker, T. R., & Fitzpatrick, D. (2009) · Nature Neuroscience · doi:10.1038/nn.2310 · Cited by 67 · see citing works
Spratling, M. (2011) · Neural Computation · doi:10.1162/neco_a_00222 · Cited by 65 · see citing works
Optimal Information Representation and Criticality in an Adaptive Sensory Recurrent Neuronal Network
Shriki, O., & Yellin, D. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004698 · Cited by 67 · see citing works
“This pattern of interactions helps in amplifying the external inputs and in achieving a relatively constant width for the orientation tuning curves, which is consistent with experimental findings on primary visual cortical neurons [43, 44].”
ResultAttentional modulation interacts with orientation anisotropies in contrast perception
Bloem, I. M., & Ling, S. (2017) · Journal of Vision · doi:10.1167/17.11.6 · Cited by 64 · see citing works
Visual Orientation and Directional Selectivity through Thalamic Synchrony
Stanley, G. B., Jin, J., Wang, Y., Desbordes, G., Wang, Q., Black, M. J., & Alonso, J. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4968-11.2012 · Cited by 66 · see citing works
Contrast coding by cells in the cat's striate cortex: Monocular vs. binocular detection
Anzai, A., Bearse, M. A., Freeman, R. D., & Cai, D. (1995) · Visual Neuroscience · doi:10.1017/s0952523800007331 · Cited by 63 · see citing works
Self-citationJigo, M., & Carrasco, M. (2020) · Journal of Vision · doi:10.1167/jov.20.6.11 · Cited by 62 · see citing works
Sequential spatial frequency discrimination is consistently impaired among adult dyslexics
Ben‐Yehudah, G., & Ahissar, M. (2004) · Vision Research · doi:10.1016/j.visres.2003.12.001 · Cited by 60 · see citing works
“Spatial frequency discrimination thresholds are not influenced by stimulus contrast (10–100%, Skottun et al., 1987) or inter-stimulus interval (ISI) duration in the short-term range (1–30 s, Magnussen, Greenlee, Asplund, & Dyrnes, 1990).”
BackgroundReceptive Fields and Response Properties of Neurons in Layer 4 of Ferret Visual Cortex
Usrey, W. M., Sceniak, M. P., & Chapman, B. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00749.2002 · Cited by 64 · see citing works
“…of orientation tuning—a property shared by all simple cells thus far studied—almost certainly relies on intra-cortical sources of input to layer 4 neurons (Sclar and Freeman 1982; Skottun et al. 1987; Usrey and Alitto 2002; reviewed in Ferster and Miller 2000; Sompolinsky and Shapley 1997).”
Background
- Authors
- Skottun, B. C., Bradley, A., Sclar, G., Ohzawa, I., & Freeman, R. D.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 1987-03-01
- Volume
- 57
- Issue
- 3
- Pages
- 773-786
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2431484271
- Cited by
- 298
- References
- 0
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 2 · 2023: 3 · 2022: 7 · 2021: 4 · 2020: 9 · 2019: 8 · 2018: 9 · 2017: 8 · 2016: 7 · 2015: 14 · 2014: 6 · 2013: 8 · 2012: 13
- FWCI
- 5.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Eye Institute (EY 01175)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- contrast dependence, orientation discrimination, spatial frequency discrimination, primary visual cortex, cat visual cortex, single neuron responses, contrast threshold, orientation selectivity, spatial frequency selectivity, response variance
- MeSH terms
- Animals, Cats, Differential Threshold, Discrimination, Psychological, Orientation, Psychophysics, Sensory Thresholds, Space Perception, Visual Cortex
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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.
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