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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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“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]
In the citing paper
“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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BackgroundResultInfluentialOrientation discrimination sensitivity of single units in cat primary visual cortex
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ResultInverted Encoding Models of Human Population Response Conflate Noise and Neural Tuning Width
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On Identifying Magnocellular and Parvocellular Responses on the Basis of Contrast-Response Functions
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BackgroundArginine Analogs Modify Signal Detection by Neurons in the Visual Cortex
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BackgroundThe confounding effect of response amplitude on MVPA performance measures
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“The orientation tuning bandwidth of neurons in V1 is essentially invariant with contrast (Sclar and Freeman, 1982; Skottun et al., 1987).”
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“Finally, in the nonlinear model response amplitude and orientation selectivity are unaffected by contrast and so it accounts for the contrast invariance of psychophysical orientation discrimination at suprathreshold contrasts (Bowne, 1990; Nasanen, Kukkonen, & Rovamo, 1997; Skottun et al., 1987; Smith & Thomas, 1989)…”
BackgroundPersi, E., Hansel, D., Nowak, L. G., Barone, P., & van Vreeswijk, C. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001078 · Cited by 41
Responses of regular spiking and fast spiking cells in turtle visual cortex to light flashes
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BackgroundTime course of perceptual discrimination and single neuron reliability
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“Why should orientation decoding improve with increased response amplitudes as measured with fMRI? Single-unit recording studies have found that higher firing rates are accompanied by a proportional increase in variance, such that increases in stimulus contrast lead to relatively small improvements in the signal-to-noi…”
InfluentialDouble orientation tuning in the cat visual cortex units
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Insights into decision making using choice probability
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BackgroundThe Responses of VIP Neurons Are Sufficiently Sensitive to Support Heading Judgments
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“Cells were identified as simple if the amplitude of the fundamental Fourier harmonic ~F1! exceeded the elevation in mean firing rate for the stimulus that produced the maximum spike rate ~Skottun et al., 1987!.”
BackgroundVisual perception as retrospective Bayesian decoding from high- to low-level features
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BackgroundSelf-citationThe amount of information transmitted about contrast by neurones in the cat's visual cortex
Tolhurst, D. J. (1989) · Visual Neuroscience · doi:10.1017/s0952523800002212 · Cited by 37
Dynamics of orientation tuning in the cat striate cortex neurons
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Shunting inhibition, a silent step in visual cortical computation
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Suprathreshold temporal-frequency discrimination in the fovea and the periphery
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Melting the Iceberg: Contrast Invariance in Visual Cortex
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“This prediction is wrong: the selectivity of firing-rate responses in V1 is remarkably invariant with contrast; increasing contrast does make the responses get larger, but it does not broaden their selectivity (Skottun et al., 1987).”
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“…provided that the LGN-driven inhibition was stronger than the direct LGN excitation, this circuitry could account for the invariance with stimulus contrast of orientation tuning (Sclar and Freeman 1982; Skottun et al. 1987) and for a number of other intracellular and extracellular observations.”
Lerchner, A., Sterner, G., Hertz, J., & Ahmadi, M. (2006) · Network Computation in Neural Systems · doi:10.1080/09548980500444933 · Cited by 31
“Well studied is also the dependence of firing rate on the stimulus orientation [10, 24], but we are not aware of studies investigating the dependence of firing irregularity on the orientation.”
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“…by saturation (Robson, 1975) is largely prevented by a contrast gain control in striate cortex, which preserves the CRF shape for nonoptimal stimuli (Albrecht & Hamilton, 1982; Skottun et al., 1987; Albrecht & Geisler, 1991; Bonds, 1991; Geisler & Albrecht, 1992; Carandini & Heeger, 1994).”
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“, 1998), including such functional response properties as the invariance of orientation tuning to stimulus contrast (Anderson et al., 2000b; Sclar and Freeman, 1982; Skottun et al., 1987; Troyer et al., 1998) and the temporal tuning properties of V1 cells (Krukowski and Miller, 2001).”
Optimal neural rate coding leads to bimodal firing rate distributions
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A population approach to cortical dynamics with an application to orientation tuning
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“This is in agreement with the contrast invariance of tuning width that was found experimentally by Sclar and Freeman (1982) and by Skottun et al (1987).”
ResultState-dependent geometry of population activity in rat auditory cortex
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Contrast Adaptation Contributes to Contrast-Invariance of Orientation Tuning of Primate V1 Cells
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“It is also worth noting that, in the cat, not only orientation tuning, but also spatial frequency tuning is largely independent of stimulus contrast [5,8].”
BackgroundSpontaneous Fluctuations in Visual Cortical Responses Influence Population Coding Accuracy
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BackgroundMethodLearning Contrast-Invariant Cancellation of Redundant Signals in Neural Systems
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BackgroundBar orientation discrimination in the cat
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BackgroundA Retinal Source of Spatial Contrast Gain Control
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“…analysing the width of the orientation response function, it was suggested that contrast changes do not affect the orientation tuning of simple cells (Sclar & Freeman, 1982; Skottun et al., 1987; Heeger, 1992; Anderson et al., 2000; Ferster & Miller, 2000; Palmer & Miller, 2007; Finn et al., 2007).”
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“V1 neurons in WT mice exhibit similar orientation tuning at different contrasts, like in cats and monkeys (Sclar and Freeman 1982; Skottun et al. 1987; Troyer et al. 1998; Ferster and Miller 2000; Niell and Stryker 2008).”
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“, the shape andwidth of orientation tuning curves remain the same for different stimulus contrasts (Sclar and Freeman, 1982; Skottun et al., 1987; Finn et al., 2007; Priebe, 2016).”
BackgroundOrientation discrimination in visual noise using global and local stimuli
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Optimal neural rate coding leads to bimodal firing rate distributions
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“For example, the just noticeable difference (jnd) in orientation is known to be almost independent from stimulus contrast over a large range of contrasts (Skottun et al 1987).”
BackgroundSimple cells in the visual cortex of the cat can be narrowly tuned for spatial frequency
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Self-citationA Metabolic Mapping Study of Orientation Discrimination and Detection Tasks in the Cat
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BackgroundThe Embedded Neuron, the Enactive Field?
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Direction Selectivity of Neurons in the Striate Cortex Increases as Stimulus Contrast Is Decreased
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“In particular, peak and bandwidth values for orientation (Sclar and Freeman 1982) and spatial frequency (Skottun et al. 1987) remain constant at different contrast levels.”
BackgroundSelf-citationContextual effects in fine spatial discriminations
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Time Course of Cross-Orientation Suppression in the Early Visual Cortex
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Self-citationContrast response in a comprehensive network model of macaque V1
Chariker, L., Shapley, R. M., & Young, L.-S. (2020) · Journal of Vision · doi:10.1167/jov.20.4.16 · Cited by 15
“…tuning, with stronger selectivity at higher contrast, agreeing with monkey, cat, and ferret V1 data (Alitto & Usrey 2004; Johnson et al., 2008; Skottun et al., 1987); 3) it produced maps of cortical activity across the surface of V1 that were stable with contrast as was reported in V1 optical…”
InfluentialThe invariance of directional tuning with contrast and coherence
Fine, I., Anderson, C. M., Boynton, G. M., & Dobkins, K. R. (2004) · Vision Research · doi:10.1016/j.visres.2003.11.022 · Cited by 15
“Similar invariance with contrast has been described for orientation tuning (Sclar & Freeman, 1982; Skottun et al., 1987).”
Wide sensory filters underlie performance in memory-based discrimination and generalization
Chen, C., Krueger‐Burg, D., & de Hoz, L. (2019) · PLoS ONE · doi:10.1371/journal.pone.0214817 · Cited by 15
Crossmodal Interaction in Humans
Watanabe, K. (2010) · CaltechTHESIS (California Institute of Technology) · doi:10.7907/66cn-aq26 · Cited by 15
Larisch, R., Gönner, L., Teichmann, M., & Hamker, F. H. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009566 · Cited by 13
“Contrast-invariant V1 simple cells have been found in different mammals such as, cats [47, 48] or ferrets [49], based on sinusoidal gratings with different contrast strength.”
BackgroundAn abstract model of a cortical hypercolumn
Curuklu, B., & Lansner, A. (2004) · International Conference on Neural Information Processing · doi:10.1109/iconip.2002.1202135 · Cited by 14
High perceptual load leads to both reduced gain and broader orientation tuning
Stolte, M., Bahrami, B., & Nilli Lavie, C. (2014) · Journal of Vision · doi:10.1167/14.3.9 · Cited by 13
May, K. A., & Solomon, J. A. (2015) · Journal of Vision · doi:10.1167/15.6.9 · Cited by 13
Peters, R. M., Staibano, P., & Goldreich, D. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00631.2015 · Cited by 15
“(2008a) reported that the orientation tuning of S1 cortical neurons was indentation-depth invariant, similar to the contrastinvariant tuning of visual cortical neurons (Skottun et al. 1987).”
BackgroundConnectionist Models of Orientation Identification
Pouget, A., & Thorpe, S. J. (1991) · Connection Science · doi:10.1080/09540099108946581 · Cited by 13
A psychophysical correlate of contrast dependent changes in receptive field properties
Mareschal, I., Henrie, J. A., & Shapley, R. M. (2002) · Vision Research · doi:10.1016/s0042-6989(02)00099-8 · Cited by 13
Liu, Y., Hashemi‐Nezhad, M., & Lyon, D. C. (2015) · The Journal of Physiology · doi:10.1113/jp271180 · Cited by 12
“Recurring evidence of contrast-invariant orientation tuning in V1 (Sclar & Freeman, 1982; Skottun et al. 1987; Anderson et al. 2000; Alitto & Usrey, 2004) has been used to challenge the classic Hubel and Wiesel (Hubel & Wiesel, 1962) explanation, that converging excitatory feed-forward afferents…”
BackgroundMethodResultInfluentialA dynamic 1/f noise protocol to assess visual attention without biasing perceptual processing
Hanning, N. M., & Deubel, H. (2022) · Behavior Research Methods · doi:10.3758/s13428-022-01916-2 · Cited by 11
Spatial phase sensitivity of complex cells in primary visual cortex depends on stimulus contrast
Hamish Meffin, A., Hietanen, M. A., Cloherty, S. L., & Ibbotson, M. R. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00431.2015 · Cited by 12
Comparing models of contrast gain using psychophysical experiments
DiMattina, C. (2016) · Journal of Vision · doi:10.1167/16.9.1 · Cited by 12
“…on 07/05/2016 Experiment 1: Direct estimation from psychophysical trials The data in Skottun et al. (1987) only provides thresholds, and therefore our estimates of g(1) ¼ (n, c50) T were not obtained as in most psychophysical…”
BackgroundUrsino, M., & Cara, G.-E. L. (2004) · Vision Research · doi:10.1016/j.visres.2004.02.005 · Cited by 12
“0 cyc/deg) and decreases to zero at higher spatial frequencies (DeAngelis, Ohzawa, & Freeman, 1993; Skottun et al., 1987).”
InfluentialAnalyzing Neuronal Processing Locus in Stimulus–Response Association Tasks
Zhang, J., Alexa Riehle, C., & Requin, J. (1997) · Journal of Mathematical Psychology · doi:10.1006/jmps.1997.1168 · Cited by 12
Ciccione, L., Sablé-Meyer, M., Boissin, E., Josserand, M., Watkins, C. P., Caparos, S., & Dehaene, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-37172-3 · Cited by 11
Metadata
- 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
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.
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