Abstract
Over 50 years of research have established that cognitive processes influence pupil size. This has led to the widespread use of pupil size as a peripheral measure of cortical processing in psychology and neuroscience. However, the function of cortical control over the pupil remains poorly understood. Why does visual attention change the pupil light reflex? Why do mental effort and surprise cause pupil dilation? Here, we consider these functional questions as we review and synthesize two literatures on cognitive effects on the pupil: how cognition affects pupil light response and how cognition affects pupil size under constant luminance. We propose that cognition may have co-opted control of the pupil in order to filter incoming visual information to optimize it for particular goals. This could complement other cortical mechanisms through which cognition shapes visual perception.
Introduction
The first filter through which the visual world passes is the pupil. We use the word “filter” because the pupil is not a passive window unto the world. The pupil is constantly changing size as the musculature of the iris constricts and dilates. These adjustments have consequences for the amount of light that hits the retina, but also for the quality of our percepts of the visual world—how we see the world and, by extension, interact with it.
We can read a remarkable amount of information about people's cognitive processing through their pupils. For example, the pupil dilates in response to attractive social partners (, ). This is such an important interpersonal signal that women in the Middle Ages used belladonna (a dangerous poison) to dilate their pupils in order to attract partners. Of course, belladonna would also have consequences for the user's perception. This is because it produces pupil dilation, which increases optical aberrations (–). By scattering photons of light, these aberrations add positional noise in terms of where light hits the retina, thereby reducing high spatial frequency information and effectively rendering the visual world in softer focus. In photography, soft focus is frequently used to produce a youthful and romantic glow (, ). Thus, it is possible then that pupil dilation signals attraction to other humans and amplifies attraction by rendering social partners in a softer, more attractive focus.
Attraction is not the only mental process that influences the size of the pupil. Pupil size scales with mental effort (, ), surprise (, ), attention (–), and abstract goal states such as exploration (–). As tools for measuring pupil size become more readily available, pupil size is increasingly being used as a non-invasive peripheral index of cognitive processes. It is tempting to think of these modulations as simply a fortunate byproduct of a cognitive process of interest. However, it is also possible that cognitive modulations of the pupil have a function. They may be an adaptive motor response generated by that cognitive process. Just as attraction increases pupil dilation, which, in turn, may render a more attractive world, it is possible that cognition adjusts pupil size in order to produce specific changes in our visual percepts. There is certainly evidence that cognitive processes shape visual processing via other mechanisms. For example, there are rich descending projections from prefrontal to visual cortex which change information processing and visual representations (). Cognition also controls where we position our fovea—that is, which points of the visual scene we acquire high spatial frequency information about (–). In both cases, cognition acts to enhance and emphasize visual features that are relevant to that cognitive process: it optimizes perception toward its own ends.
In this review, we first discuss possible functions of cognitive modulations of the pupil light response—a pupil reflex arc that is essential for light adaptation. Then, we apply this same functional framework to consider the effect that spontaneous or cognitive fluctuations in pupil size may have on visual perception. We build an intuition for these effects by briefly reviewing how the aperture was used to produce different qualities of images in early art photography. However, we caution that much additional work is necessary to determine the extent to which physiological changes in pupil size affect gaze and perception. Ultimately, the goal of this review is to highlight these open questions and identify next steps for research on the perceptual consequences of pupil size.
Attention and the Pupil Light Response
The pupillary light reflex (PLR; Figure 1B) is the first and most fundamental mechanism for light adaptation in the brain. When a focal or global luminance change occurs, the pupil constricts (). This constriction is generally thought to serve a protective function, preventing photoreceptor fatigue and transient blindness when luminance increases (). The PLR is mediated through a subcortical reflex pathway. Luminance information from the retina is relayed to the midbrain pretectal nucleus, which in turn projects to the Edinger-Westphal nucleus, which signals the pupillary sphincter to contract (, ). However, the subcortical reflex pathway is not the only pathway by which visual information can influence the pupil response to increasing luminance. For example, in the absence of direct retinal input to the pretectum—when the subcortical pathway is eliminated—a small pupillary light response can still be observed. Moreover, postgeniculate, cortical lesions can impair normal pupil light responses, though these effects are smaller than the consequences of eliminating the subcortical pathway (–). Thus, the pupil light reflex is only one small part of a larger PLR, some of which is mediated by cortical processing.
Figure 1
The existence of cortical influences raises the possibility that higher-order visual or even cognitive processes could shape the PLR. Indeed, there is empirical evidence for this view. For example, we know that the PLR is reduced during performance of a competing task (
However, it was not until much later that studies began to explicitly test the idea that the PLR is modulated by selective visual attention (
It seems plausible that attention-related modulations of the PLR would require cortical control. But what is the source of this control? The pretectal nucleus receives input from the frontal eye field (FEF), an area within prefrontal cortex (
Figure 2

The PLR is bidirectionally modulated by cortical stimulation. (A) The frontal eye fields (green) are a part of prefrontal cortex responsible for directing gaze and attention. Injecting current into the frontal eye fields produces repeated saccades to the same location in space (the “response field,” dotted circle). Stimulating at very low currents (“microstimulation”) directs covert visual attention to the response field without moving the eye. (B) The PLR stimulation task. Rhesus monkeys hold fixation while PLR-evoking light probes are flashed on the screen. On some trials, microstimulation is delivered in order to direct covert visual attention to one of the two possible probe locations. (C) The pupil light response from an example session on trials where the probe was flashed in the stimulated response field (left), our outside of the stimulated field (right). Pale colors = no stimulation control trials. Saturated colors = stimulation was delivered. Inset) Difference between control and stimulation trials across all sessions. *p < 0.05. Figures modified from Ebitz and Moore (
Possible Functions of Attentional Modulations of the Pupil Light Response
The first and most often cited function of the pupil light reflex is for light adaptation. Perhaps one function of the attentional modulations of the PLR is to allow light adaptation across saccades (
An alternative, and perhaps complimentary, hypothesis is that attentional modulations of the PLR may play a role in optimizing visual acuity across light intensities (
Figure 3

A potential role for the PLR in optimizing acuity in natural vision. (A) Natural scenes have luminance gradients, such that successive saccades can target regions with very different brightness (Image: Ansel Adams, “Acoma Pueblo. [National Historic Landmark, New Mexico],” U.S. National Archives, identifier #519836). (B) Cartoon illustrating how a tradeoff between signal to noise and optical aberrations could produce different optimal pupil sizes for different luminance regions. The effect of optical aberrations on vision (costs, solid blue line) increase as a function of pupil size. A larger pupil also increases the amount of light passing through, which means that the signal to noise ratio (SNR) would also increase as a function of pupil size, producing a decreasing cost for vision as a function of pupil size (solid gray and black lines). Because luminance varies across the scene, different regions would have different intrinsic signal levels, which would interact with pupil size to determine the costs (compare solid gray and black lines). To find the optimal pupil size across these two conditions, we can calculate the total costs due to both SNR and optical aberrations (dotted gray lines), then find the pupil size that minimizes these total costs (asterisks).
An important caveat to this argument is that attentional enhancements of the PLR likely have only subtle, small effects on visual acuity. These modulations enhance pupil constriction on the order of a tenth of a millimeter, which would produce negligible changes in acuity for eyes with normal or corrected-to-normal vision [though changes in acuity would certainly be larger in eyes with refractive errors; (
This question of magnitude is important because prefrontal control over a brainstem reflex requires long-range connections that seem costly to evolve and maintain. Shouldn't they confer some substantive benefit in order to have been selected for by evolution? It is important to note that a substantive benefit to perception in primates today is not necessary for either evolving attentional modulations of the pupil light reflex or for these modulations to have a function today. First, it is plausible that attentional modulations of the PLR are an exaptation (67)—a byproduct of evolution that was not selected for directly. In this view, these modulations could have evolved via a noisy selection process operating on some other, related competency, such as for prefrontal control over other brainstem circuits. Once evolved, exaptations nevertheless can be co-opted to serve some function, such as improving visual acuity during natural vision in the myopic eye. Second and alternatively, it is possible that attentional modulations of the pupil light response are vestigial: a competency that was selected for when it did confer a substantive benefit and maintained because it does not substantially hinder fitness. If the frequency of refractive errors has reduced over primate evolution, then it is possible that some ancestral nervous system evolved attentional modulations of the pupil light reflex at a time when they did provide substantive perceptual benefits, though these benefits have become smaller over time as the primate eye became increasingly emmetropic. Differentiating between these possibilities will require comparative studies. However, in either case observing attentional modulations of the pupil in the primate eye today does not imply or require that these modulations were selected for directly. It may imply that they did not hinder fitness enough to be selected against—perhaps because they work synergistically, rather than competitively, with other mechanisms for light adaptation or for improving visual acuity with attention.
Cognition and Pupil Size Under Constant Luminance
In addition to modulating the PLR, covertly reorienting selective attention could also cause a transient pupil constriction. A small pupil constriction is observed following subtle equiluminant changes in stimuli, including changes in color, spatial frequency, structure, and motion (68–71). [This is in contrast to an arousing or alerting response to a highly salient stimulus, which produces pupil dilation, rather than constriction (72, 73)] However, these same subtle changes in stimuli also transiently capture and reorient selective visual attention (74, 75). These reorienting pupil constrictions depend on visual processing in the cortex: they are not observed in cortical blindness (68), where the visual signals in cortex are significantly reduced (76). Of course, reorienting pupil constrictions are quite transient—decaying within about 2 s after the evoking stimulus—but they could still permit a transient improvement in acuity, locked to the moment when a change in stimulus structure is capturing selective, spatial attention. Of course, future work is necessary to determine whether this pupil onset response is specifically related to reorienting selective visual attention toward a stimulus on a display, or if it is instead mediated by other mechanisms, such as a generalized alerting or arousal response.
Other cognitive processes produce sustained decreases in pupil size. For example, during a learning task, commitments to a behavioral policy are associated with sustained pupil constriction (
Learning and task difficulty are not the only mental processes associated with larger pupil sizes. Instead, the pupil size increases with a diversity of cognitive processes including surprise (
In many studies, pupil size under constant luminance is used as a peripheral index of autonomic arousal (79, 81), noradrenergic tone (
The Photographer's Aperture
The optics of a camera and the human eye are certainly not the same. For example, the camera is not foveal, and modern camera lenses are corrected for many of the optical aberrations that plague the eye. However, we can still build an intuition for the functional consequences of changing pupil size by looking at historical photographs. This is because we, as viewers, operate on these photographs, much as we operate on the visual world around us. We decide where to saccade within these images based on some combination of the visual salience within the image and our top down goals or beliefs about what is important (
In the introduction, we discussed how larger apertures produce softer-focus images by increasing optical aberrations. This occurs because large apertures allow greater scattering of photons from adjacent sources. This is more pronounced when the plane of focus is even slightly misaligned with the sensors [i.e., the photographers' film or our eye's photoreceptors; (
A large aperture produces a soft focus. That is, it reduces the fine, high-spatial frequency detail in the image, emphasizing larger forms at the expense of detail (Figure 4A). This type of aesthetic was exemplified in the images produced by “Pictorialist” photographers in the late nineteenth and early twentieth centuries (
Figure 4

Example images from the Pictorialist and Purist photographic traditions. (A) “The Firefly,” A photograph in the Pictorialist style by George Seeley, 1911. (Source: Getty Museum, identifier: #84.XM.163.1). Note the soft focus and lack of high spatial frequency detail. (B) A photograph in the Purist style by Ansel Adams. “Jackson Lake, with Teton Ridge in the background.” Taken for the National Park Service, circa 1933–1942. Note the increase in fine, high spatial frequency detail. (Source: U.S. National Archives, identifier: #519909).
Pictorialist photographers used a range of techniques to produce these images. For example, in his 1917 manual on photography, Paul L. Anderson highlighted the benefits of selecting “a lens possessing all possible errors,” which gives, “as a result of its optical defects, a very soft and pleasing quality of definition” (p. 37). Anderson also described how the photographer could enhance these effects: “by the use of an aperture larger than normal it is possible to obtain greater diffusion, thus aiding in the suggestion of mystery, a suggestion which is of importance in any work of art” (p. 52). Many pictorialist photographers continued to work with large apertures and soft-focus lenses, long after the development of lenses corrected for various optical aberrations. This was particularly pronounced in Hollywood, where photographers and cinematographers continued to produce Pictorialism-inspired images for several decades after aberration-corrected lenses, “anastigmat” lenses, had been developed in the 1890's (
Starting in the 1920's and 1930's, however, many photographers began experimenting with precisely the opposite choice: using small apertures to produce images that engaged the viewer with detail. This became the Purist or objectivist photography movement (109). At the forefront of movement was Ansel Adams, perhaps the best-known American landscape photographer (Figure 4B). To achieve his engulfing views of the natural world, Adams used the smallest apertures that were available. This choice of aperture was so central to his process that he later formed a gallery and working group in Oakland, California under precisely this name [Group f/64; (109)]. Another member of this group was Edward Weston, a major master of 20th century photography. Weston used precisely the same techniques—long exposures with the smallest possible apertures—to produce richly detailed and absorbing images. In a 1930 essay declaring his disdain for the Pictorialists (“if they had no camera [they] would be third rate, or worse, painters”), Weston passionately described what he felt to be the true best-use of photography (107). The camera can “enable one to see through the eye, augmenting the eye, seeing more than the eye sees, exaggerating details, recording surfaces, textures that the human hand could not render with the most skill and labor.” The photograph “contains no lines in the painter's sense, but is entirely made up of tiny particles. The extreme fineness of these particles gives a special tension to the image, and when that tension is destroyed the integrity of the photograph is destroyed.”
The transition from Pictorialism to Purism in photography is clearly a far cry from what our pupils are doing as they transition from dilation and constriction. For example, the photographic apertures used to produce Figures 4A,B would have differed in size by more than the physiological range of the pupil—and certainly more than any cognitive modulation of the pupil. But, perhaps these images have value as a caricature of the effects of pupil size on perception: these images enhance and emphasize the effects of aperture size on our image of the world around us. Moreover, by looking at how we interact with these images as a viewer—and by thinking about what information is coded in the high spatial frequency channels that were enhanced in purism and discarded in pictorialism—we might be able to gain some insights into what, if any, function cognitive modulations of the pupil could serve.
Possible Perceptual and Oculomotor Effects of Pupil Size
Small pupils would bias visual representations toward the purist tradition—emphasizing the fine detail and high spatial frequency information of the visual world. In a sense then, the pupil constriction caused by attention-capturing changes in stimuli (68–71) would mirror the known effects of attention on visual acuity (110) and contrast sensitivity (111). This is because, by decreasing defocus, smaller pupils necessarily increase visual acuity and sensitivity for the fine-grained contrast gradations typical of attention tasks (
Although there are clear parallels between the pupil constriction observed at attentional reorienting and the effects of pupil constriction on vision, several caveats must be noted. First, the perceptual consequences of attention and pupil size differ in space. Selective visual attention only improves contrast sensitivity and visual acuity only for a selected region in visual space (110–113). Conversely, any change in pupil size is necessarily a global effect. Thus, pupil constriction at attentional capture can provide a global compliment to ongoing, local perceptual processes. Second, the perceptual consequences of attention and pupil size also differ in magnitude. Attention improves visual acuity on the order of several arc minutes (114). For individuals with normal (20/20) vision, the change in pupil size that would be required to produce the equivalent change in visual acuity would be larger than the physiological range of the pupil (
What consequences would increasing the fine detail in a visual representation have for gaze and perception? In natural vision, high spatial frequency information scales with proximity, such that closer objects and features contain finer details (115). Given that this information carries forward through the visual system to preferentially attract gaze (
The idea that the pupil constriction component of the pupil near response could function to focus gaze on nearby objects seems at odds with the observation that small apertures are used to produce a deeper depth of field in modern photography. A small aperture allows the region of focus to extend further both toward and away from the viewer (Figure 5). This implies that there would be more high spatial frequency information when pupils are small across both nearby and distant locations—not just in the current plane of focus. Of course, this would not change the fact that nearby objects contain more high-spatial frequency information, so increasing depth of field could still bias gaze toward nearby objects. It is also important to note that while there is substantial evidence that decreasing pupil size (< 4 or 5 mm) does narrow the eye's depth-of-field (120, 121), the effects of pupil size on depth-of-field in the eye are not necessarily as straightforward as they are in a modern digital camera. For example, depth-of-field in our visual systems is also substantially affected by optical aberrations that are eliminated in these cameras, there are modulatory effects of both neural and retinal processing (121), and there is evidence that increasing pupil size (e.g., from 4 to 6 mm) can narrow, rather than deepen depth-of-field (121). Moreover, because blur is important for estimating depth (122, 123), it is possible that the function of any deepened depth of field with small pupil size is to reduce this depth information when it is unnecessary—such as in near-work tasks. Ultimately, future work is needed to determine how pupil size affects perception and gaze in three dimensional environments.
Figure 5

The effects of aperture size on depth of field. (Top to bottom) The effects of decreasing aperture size on defocus in three dimensions in a modern digital camera. The large aperture increases the sense of depth in the top photographs, but the small aperture increases the high spatial frequency information in the bottom photographs. Note that the range of aperture sizes used here is larger than the physiological range of the pupil (which is only 2–8mm) and these images were corrected for optical aberrations by processing in the camera (Photo credit: Boris Oicherman).
In higher level vision—visual representations of objects or social partners—high spatial frequency information often carries a disproportionate amount of information about the identity of that visual target (124–127). Moreover, there is evidence that changing goals could change the spatial frequency information that we prioritize for processing (128, 129). For example, human observers tend to rely on high spatial frequency information to discriminate facial identities (125, 127, 130) or to differentiate objects within broader conceptual categories [i.e., breeds of dogs (125) or the identity of a specific toy (126)]. Enhancing high spatial frequency information could help the viewer to individuate objects, perhaps even along task-relevant dimensions. Of course, this is a strong prediction—that decreasing pupil size would increase individuation of faces and objects—and empirical studies are needed to determine whether cognitive modulations of pupil size are of sufficient magnitude to produce this kind of change.
If decreasing pupil size draws gaze to nearby objects, increasing pupil size might have the opposite effect reducing the drive to look at proximate objects by eliminating the high-spatial frequency information that may partially drive this bias (
Other perceptual consequences of reducing high spatial frequency information may be to bias perception toward global, categorical, and configural properties of the visual world (133, 134). We know that low spatial frequency information is sufficient, and indeed more useful than high spatial frequency information, in rapidly perceiving the gist of a scene (135). This implies that observers with larger pupils might focus more on global properties of a scene, rather than the specific details. In object perception, pupil dilation might decrease information about object or face identity in favor of type, mimicking the effects of disrupting high spatial frequency information in images (124–127). This could make it easier to represent a figure according to more abstract classes—such as whether an object is a car or an animal—rather than according to fine grain distinctions between different animals (136). Finally, large pupils could also aid in estimating the three dimensional configuration of a scene—that is, the distance between ourselves and some salient cue. This is because blur is a salient depth cue, useful for estimating distances in three dimensions (122, 123), and it also increases as the depth of field decreases with large pupil sizes (Figure 5).
Given the link between pupil size and autonomic arousal, an increase in configural processing with large pupil sizes could certainly be adaptive. Much as sympathetic arousal quickens heart rate and shifts blood flow to skeletal muscles, perhaps it also changes our visual filter in order to more rapidly and accurate differentiate between trees and tigers and estimate their distance from ourselves, without regard for the texture or individual identity of either. This could also help with generalizing learned associations to members of a broader class. For example, if your previous experiences with tigers have been particularly arousing, perhaps it is best that those memories generalize across all big cats. It is probably a waste of limited neural resources to even represent the specific details of any given tiger!
Of course, it is also possible that cognitive modulations of the pupil are not large enough to produce any substantial perceptual change, given the modern primate eye. This is an empirical question that can be addressed psychophysically, either through combining pharmacological dilation with artificial pupils or through filtering images to match the putative effects of plausible changes in pupil size. However, even if cognitive modulations of the pupil are not sufficiently large to produce perceptual changes in the normal primate eye today, this does not preclude the possibility that they either evolved in an ancestral eye, where they did produce adaptive perceptual changes. Their continued existence today may simply imply that they did not hinder fitness enough to be selected against—perhaps because they work synergistically, rather than competitively, with other mechanisms for biasing perceptual processing according to pupil-linked goals or brain states.
Directions for Future Research on Perception, Gaze, and Pupil Size
Much of the above is a speculative juxtaposition of the known optical consequences of pupil size and the effects of various image manipulations on natural image viewing. In particular, we have noted that more work is needed to determine the precise magnitude of any effect of pupil size on perception and any perceptual effects on gaze and behavior. Although pupil size necessarily gates spatial frequency and blur information, to our knowledge, few studies have looked at how pupil size influences gaze and visual perception. In part, this is because naturally-occurring fluctuations in pupil size are inexorably linked with changes in autonomic arousal (79, 81), noradrenergic tone (
Of course, the converse is also true: without knowing the effects of pupil size on gaze, visual processing, and task performance, we cannot ascribe behavioral correlates of pupil size to changes in arousal, norepinephrine, control states, or cortical processing. This is because any behavioral correlates of pupil size—even those that seem deeply cognitive primafacie—could be due to the effects of pupil size on perception, rather than a latent state that is indexed by pupil size.
Changes in low-level perceptual cues can have substantial consequences for higher-order cognitive processes. For example, there is certainly some evidence that the spatial frequency of vision is consequential for higher order cognitive processes, including as memory and decision-making. One thoughtful study reported that small pupil size at encoding was associated with better recognition memory for objects (137). Does this mean that pupil-linked mechanisms such as arousal, norepinephrine, control states, or cortical processing underlie recognition memory? There are two pieces of evidence that suggest otherwise. First, this study also noted that subjects with smaller pupils also made more frequent, shorter direction fixations when viewing the objects. These patterns of gaze predicted future recognition memory just as well as pupil size did. We know from other studies that these gaze patterns mimic the effects of increasing high spatial frequency information in an image (116) and that high spatial frequency information is important for object recognition (138). Thus, it is entirely possible that the increase in recognition memory in this study was mediated by a change in the way the pupil filtered the visual world. Second, if pupil size indexed some brain state that was optimized for memory encoding, it should have the same relationship with recognition memory, regardless of what kind of information was being encoded. Yet, small pupils at encoding may only predict better recognition memory for objects (137). Small pupils are associated with poorer recognition for faces (139). This is striking because low—not high—spatial frequency information is essential for encoding faces (140–142). Thus, during object encoding, smaller pupils would preserve the high spatial frequency information that is important for object recognition—drawing attention toward the critical stimulus dimensions. However, during face encoding, smaller pupils would preserve the high spatial frequency information that competes with the important low spatial frequency cues—in this case, drawing attention away from the critical stimulus dimensions.
Mnemonic encoding is not the only cognitive process that can be gated by perception or the effects of perception on gaze and attention. For example, we know that gaze is sufficient to shape economic (143) and social (144) decision-making. Perhaps this occurs because gaze gates value signals in higher order decision-making regions (145). This suggests that changes in fixations patterns propagate through decision processes to shape behavior. By systematically reducing the high spatial frequency information, pupil size could bias gaze, and therefore decisions away from high spatial frequency targets. For example, we previously found that pupil size predicted decisions to look at large (~15° visual angle) images of conspecific faces, rather than small (< 1°) rewarded targets [Figures 6A,B; (
Figure 6

Baseline pupil size under constant luminance predicts changes in attentional priorities. (A) In the distraction task (Figure 1A), large, salient distractors are presented in conflict with a rewarded target. Monkeys are faster for congruent distractors and slower for incongruent distractors (Figure 1C). Increasing pupil size magnifies these effects: attention is more affected by the distractors when pupil size is large. (B) In the same task, we can also measure the probability that monkeys would make an “errant saccade” to a task-irrelevant distractor, rather than a rewarded target (these trials were excluded from analysis in A). Errant saccade likelihood increases as a function of pupil size at fixation. Panel (A) is modified from Ebitz et al. (
Much more work is necessary to establish what effect pupil size has on gaze and attention, much less on higher order cognitive processes like memory and decision-making. This is a substantial need because, as we have just illustrated, it can be tempting to think of pupil size as an index of a latent brain state, but it remains possible that pupil size could cause changes in perception that then influence cognition via shaping attention or gaze.
Because of these potential confounds, building a taxonomy of the direct behavioral effects of pupil size is an essential precondition for the use of the pupil as an index of any cognitive or neural state. First, it is important to determine how spatial frequency information changes across pupil size. One promising approach might be to have human subjects report their percepts of ambiguous images, that contain differing objects or scenes in parametrically varied frequency channels (128). This would allow a quantitative description how pupil size sets the spatial frequencies that are prioritized for processing. Second, it is necessary to determine whether any neural and/or behavioral correlates of pupil-linked states can be replicated by filtering the display to enhance or suppress these frequency channels. An alternative and perhaps complementary approach might be to dilate the pupils with mydriatic agents (such as the tropicamide and the phenylephrine), then use an artificial “pupil” to determine whether manipulating pupil size was, by itself, sufficient to replicate any behavioral effects (66). Addressing these two questions will be essential for both understanding the perceptual consequences of pupil size and for establishing the circumstances in which pupil size does simply index a latent mental state.
Discussion
Our central hypothesis is that cognitive modulations of the pupil may be functional, rather than epiphenomenal. To illustrate this perspective, we first discussed the attentional modulation of the pupil light reflex. Previously, we reported that these modulations can be qualitatively reproduced by electrically stimulating part of the prefrontal cortex involved in directing visual spatial attention (
Next, we posited that the pupil may act to filter the visual world—to emphasize some visual features while suppressing others. We highlighted high spatial frequency information as the primary type of information that would be preserved when pupils are small, but suppressed when they are large. This is because optical aberrations—which cause blur and defocus at fine spatial scales—increase as the pupil gets larger. This means that when the pupil is large, the visual world is rendered with a Pictorialist brush: defocus and blur are maximal. Conversely, when the pupil is small, the visual world is rendered in the Purist tradition: rich with detailed, high spatial frequency information.
We have argued that blur and defocus are ideal in circumstances where processing larger forms—e.g., the class of an object, the gist of a scene—is most beneficial. It seems to us that these circumstances are precisely the ones in which pupil size is at its largest—the circumstances where rapid decision-making and generalization across classes are perhaps the most useful for our survival. High spatial frequency information, conversely, is the currency of visual attention, where the selective processing of this fine grained information is critical for individuating targets by recognizing differences in the fine details that differ between them.
Statements
Author contributions
RE and TM formulated the hypothesis and wrote the manuscript.
Funding
This work was funded by the National Eye Institute (R01-EY014924 to TM and 5T32-EY020485 to RE) and the National Institute of Mental Health (F32-MH102049).
Acknowledgments
We would like to thank Michael Platt, R. Alison Adcock, Boris Oicherman, and David Ebitz for invaluable discussions. Figure 6B is reprinted from Ebitz and Platt (77), Copyright (2015), with permission from Cell Press and Elsevier.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1.
HessEH. Attitude and pupil size. Sci Am. (1965) 212:46–55.
2.
RiegerGSavin-WilliamsRC. The eyes have it: sex and sexual orientation differences in pupil dilation patterns. PLoS ONE (2012) 7:e40256. 10.1371/journal.pone.0040256
3.
AtchisonDASmithGEfronN. The effect of pupil size on visual acuity in uncorrected and corrected myopia. Am J Optom Physiol Opt. (1979) 56:315–23. 10.1097/00006324-197905000-00006
4.
CampbellFWGregoryAH. Effect of size of pupil on visual acuity. Nature (1960) 187:1121. 10.1038/1871121c0
5.
LiangJWilliamsDR. Aberrations and retinal image quality of the normal human eye. J Opt Soc Am A (1997) 14:2873. 10.1364/JOSAA.14.002873
6.
WalshGCharmanWN. The effect of pupil centration and diameter on ocular performance. Vision Res. (1988) 28:659–65. 10.1016/0042-6989(88)90114-9
7.
AndersonP. Pictorial Photography; Its Principles and Practice.Philadelphia; London: J. B. Lippincott company (1917).
8.
KeatingP. From the portrait to the close-up: gender and technology in still photography and Hollywood cinematography. Cine J. (2006) 45:90–108. 10.1353/cj.2006.0034
9.
GoldwaterBC. Psychological significance of pupillary movements. Psychol Bull. (1972) 77:340–55.
10.
KahnemanDBeattyJ. Pupil diameter and load on memory. Science (1966) 154:1583–5. 10.1126/science.154.3756.1583
11.
O'ReillyJXSchüffelgenUCuellSFBehrensTEMarsRBRushworthMF. Dissociable effects of surprise and model update in parietal and anterior cingulate cortex. Proc Natl Acad Sci USA. (2013) 110:E3660–9. 10.1073/pnas.1305373110
12.
PreuschoffKt HartBMEinhauserW. Pupil dilation signals surprise: evidence for noradrenaline's role in decision making. Front Neurosci. (2011) 5:115. 10.3389/fnins.2011.00115
13.
Chin-AnWMunozD. P.Neural basis of location-specific pupil luminance modulation. Proc. Natl. Acad. Sci. U.S.A.115:10446–51. 10.1073/pnas.1809668115
14.
EbitzRBPearsonJMPlattML. Pupil size and social vigilance in rhesus macaques. Front Neurosci. (2014) 8:100. 10.3389/fnins.2014.00100
15.
MathôtSVan der LindenLGraingerJVituF. The pupillary light response reveals the focus of covert visual attention. PLoS ONE (2013) 8:e78168. 10.1371/journal.pone.0078168
16.
AlgermissenJBijleveldEJostmannNBHollandRW. Explore or reset? Pupil diameter transiently increases in self-chosen switches between cognitive labor and leisure in either direction. BioRxiv (2018) 379214. 10.1101/379214
17.
JepmaMNieuwenhuisS. Pupil diameter predicts changes in the exploration–exploitation trade-off: evidence for the adaptive gain theory. J Cogn Neurosci. (2011) 23:1587–96. 10.1162/jocn.2010.21548
18.
PajkossyPSz Holl HosiÁDemeterGRacsmányM. Tonic noradrenergic activity modulates explorative behavior and attentional set shifting: evidence from pupillometry and gaze pattern analysis. Psychophysiology (2017) 54:1839–54. 10.1111/psyp.12964
19.
SquireRFNoudoostBSchaferRJMooreT. Prefrontal contributions to visual selective attention. Annu Rev Neurosci. (2013) 36:451–66. 10.1146/annurev-neuro-062111-150439
20.
HendersonJM. Human gaze control during real-world scene perception. Trends Cogn Sci. (2003) 7:498–504. 10.1016/j.tics.2003.09.006
21.
IttiLKochC. Computational modelling of visual attention. Nat Rev Neurosci. (2001) 2:194–203. 10.1038/35058500
22.
OlivaATorralbaACastelhanoMSHendersonJM. Top-down control of visual attention in object detection. In: IEEE Proceedings of the International Conference on Image Processing, Vol. I, IEEE (2003) p. 253–6.
23.
LoewenfeldIELowensteinO. The Pupil: Anatomy, Physiology, and Clinical Applications.Woburn, MA: Butterworth-Heinemann Medical (1993).
24.
MagounHWAtlasDHareWKRansonSW. The afferent path of the pupillary light reflex in the monkey. Brain (1936) 59:234–49. 10.1093/brain/59.2.234
25.
PapageorgiouETiciniLFHardiessGSchaeffelFWiethoelterHMallotHAet al. The pupillary light reflex pathway Cytoarchitectonic probabilistic maps in hemianopic patients. Neurology (2008) 70:956–63. 10.1212/01.wnl.0000305962.93520.ed
26.
WilhelmBJWilhelmHMoroSBarburJL. Pupil response components: studies in patients with Parinaud's syndrome. Brain (2002) 125:2296–307.
27.
WilhelmHWilhelmBPetersenDSchmidtUSchieferU. Relative afferent pupillary defects in patients with geniculate and retrogeniculate lesions. Neuro Ophthalmol. (1996) 16:219–24. 10.3109/01658109609044629
28.
EbitzRBMooreT. Selective modulation of the pupil light reflex by microstimulation of prefrontal cortex. J Neurosci. (2017) 37:5008–18. 10.1523/JNEUROSCI.2433-16.2017
29.
EbitzRB. Determinants of Distractibility in the Rhesus Macaque.Ph.D. Thesis. Duke University (2013).
30.
SteinhauerSRCondrayRKasparekA. Cognitive modulation of midbrain function: task-induced reduction of the pupillary light reflex. Int J Psychophysiol. (2000) 39:21–30. 10.1016/S0167-8760(00)00119-7
31.
BroadbentDE. Perception and Communication.London: Pergamon (1958).
32.
BárányEHHalldénU. Phasic inhibition of the light reflex of the pupil during retinal rivalry. J Neurophysiol. (1948) 11:25–30.
33.
LoweSWOgleKN. Dynamics of the pupil during binocular rivalry. Arch Ophthalmol. (1966) 75:395–403.
34.
HakeremGADSuttonS. Pupillary response at visual threshold. Nature (1966) 212:485–6. 10.1038/212485a0
35.
ZuberBLStarkLLorberM. Saccadic suppression of the pupillary light reflex. Exp Neurol. (1966) 14:351–70. 10.1016/0014-4886(66)90120-8
36.
BenedettoABindaP. Dissociable saccadic suppression of pupillary and perceptual responses to light. J Neurophysiol. (2015) 115:1243–51. 10.1152/jn.00964.2015
37.
MitchellJFStonerGRReynoldsJH. Object-based attention determines dominance in binocular rivalry. Nature (2004) 429:410–3. 10.1038/nature02584
38.
StonerGRMitchellJFFallahMReynoldsJH. Interacting competitive selection in attention and binocular rivalry. Prog Brain Res. (2005) 149:227–34. 10.1016/S0079-6123(05)49016-0
39.
PosnerMISnyderCRDavidsonBJ. Attention and the detection of signals. J Exp Psychol Gen. (1980) 109:160–74. 10.1037/0096-3445.109.2.160
40.
DeubelHSchneiderWX. Saccade target selection and object recognition: evidence for a common attentional mechanism. Vision Res. (1996) 36:1827–37. 10.1016/0042-6989(95)00294-4
41.
HoffmanJESubramaniamB. The role of visual attention in saccadic eye movements. Percept Psychophys. (1995) 57:787–95. 10.3758/BF03206794
42.
MooreTArmstrongKMFallahM. Visuomotor origins of covert spatial attention. Neuron (2003) 40:671–83. 10.1016/S0896-6273(03)00716-5
43.
RizzolattiGRiggioLDascolaIUmiltáC. Reorienting attention across the horizontal and vertical meridians: evidence in favor of a premotor theory of attention. Neuropsychologia (1987) 25:31–40.
44.
SteinmetzNAMooreT. Eye movement preparation modulates neuronal responses in area V4 when dissociated from attentional demands. Neuron (2014) 83:496–506. 10.1016/j.neuron.2014.06.014
45.
BindaPMurraySO. Spatial attention increases the pupillary response to light changes. J Vis. (2015) 15:1. 10.1167/15.2.1
46.
MathôtSVan der StigchelS. New light on the mind's eye: the pupillary light response as active vision. Curr Dir Psychol Sci. (2015) 24:374–8. 10.1177/0963721415593725
47.
MathôtSvan der LindenLGraingerJVituF. The pupillary light response reflects eye-movement preparation. J Exp Psychol Hum Percept Perform. (2015) 41:28–35. 10.1037/a0038653
48.
MathôtSDalmaijerEGraingerJVan der StigchelS. The pupillary light response reflects exogenous attention and inhibition of return. J Vis. (2014) 14:7. 10.1167/14.14.7
49.
HuertaMFKrubitzerLAKaasJH. Frontal eye field as defined by intracortical microstimulation in squirrel monkeys, owl monkeys, and macaque monkeys: I. Subcortical connections. J Comp Neurol. (1986) 253:415–39. 10.1002/cne.902530402
50.
KünzleHAkertK. Efferent connections of cortical, area 8 (frontal eye field) in Macaca fascicularis. A reinvestigation using the autoradiographic technique. J Comp Neurol. (1977) 173:147–63.
51.
LeichnetzGR. Connections between the frontal eye field and pretectum in the monkey: an anterograde/retrograde study using HRP gel and TMB neurohistochemistry. J Comp Neurol. (1982) 207:394–402.
52.
LeichnetzGR. Connections of the medial posterior parietal cortex (area 7m) in the monkey. Anat Rec. (2001) 263:215–36. 10.1002/ar.1082
53.
BisleyJWGoldbergME. Neuronal activity in the lateral intraparietal area and spatial attention. Science (2003) 299:81–6. 10.1126/science.1077395
54.
MooreTFallahM. Control of eye movements and spatial attention. Proc Natl Acad Sci USA. (2001) 98:1273–6. 10.1073/pnas.98.3.1273
55.
BruceCJGoldbergMEBushnellMCStantonGB. Primate frontal eye fields. II Physiological and anatomical correlates of electrically evoked eye movements. J Neurophysiol. (1985) 54:714–34.
56.
GoldbergMEBisleyJPowellKDGottliebJKusunokiM. The role of the lateral intraparietal area of the monkey in the generation of saccades and visuospatial attention. Ann NY Acad Sci. (2002) 956:205–15. 10.1111/j.1749-6632.2002.tb02820.x
57.
SchallJDHanesDP. Neural basis of saccade target selection in frontal eye field during visual search. Nature (1993) 366:467. 10.1038/366467a0
58.
SchillerPHTehovnikEJ. Neural mechanisms underlying target selection with saccadic eye movements. Prog Brain Res. (2005) 149:157–71. 10.1016/S0079-6123(05)49012-3
59.
SchillerPHSandellJHMaunsellJH. The effect of frontal eye field and superior colliculus lesions on saccadic latencies in the rhesus monkey. J Neurophysiol. (1987) 57:1033–49. 10.1152/jn.1987.57.4.1033
60.
BindaPMurraySO. Keeping a large-pupilled eye on high-level visual processing. Trends Cogn Sci. (2015) 19:1–3. 10.1016/j.tics.2014.11.002
61.
FrazorRAGeislerWS. Local luminance and contrast in natural images. Vision Res. (2006) 46:1585–98. 10.1016/j.visres.2005.06.038
62.
ClarkeRJZhangHGamlinPD. Characteristics of the pupillary light reflex in the alert rhesus monkey. J Neurophysiol. (2003) 89:3179–89. 10.1152/jn.01131.2002
63.
De GrootSGGebhardJW. Pupil size as determined by adapting luminance. JOSA (1952) 42:492–5. 10.1364/JOSA.42.000492
64.
BarlowHB. Retinal noise and absolute threshold. JOSA (1956) 46:634–9. 10.1364/JOSA.46.000634
65.
BaylorDANunnBJSchnapfJL. The photocurrent, noise and spectral sensitivity of rods of the monkey Macaca fascicularis. J Physiol. (1984) 357:575–607. 10.1113/jphysiol.1984.sp015518
66.
SchurmanDL. Effects of an artificial pupil in visual perception. Psychon Sci. (1968) 11:57.
67.
GouldSJVrbaES. Exaptation—a missing term in the science of form. Paleobiology (1982) 8:4–15. 10.1017/S0094837300004310
68.
BarburJLHarlowAJSahraieA. Pupillary responses to stimulus structure, colour and movement. Ophthalmic Physiol Opt. (1992) 12:137–41. 10.1111/j.1475-1313.1992.tb00276.x
69.
GamlinPDZhangHHarlowABarburJL. Pupil responses to stimulus color, structure and light flux increments in the rhesus monkey. Vision Res. (1998) 38:3353–8. 10.1016/S0042-6989(98)00096-0
70.
KardonR. Pupillary light reflex. Curr Opin Ophthalmol. (1995) 6:20–6. 10.1097/00055735-199512000-00004
71.
SahraieABarburJL. Pupil response triggered by the onset of coherent motion. Graefes Arch Clin Exp Ophthalmol. (1997) 235:494–500. 10.1007/BF00947006
72.
SokolovEN. Higher nervous functions: The orienting reflex. Annu Rev Physiol. (1963) 25:545–80.
73.
WangC-ABoehnkeSEWhiteBJMunozDP. Microstimulation of the monkey superior colliculus induces pupil dilation without evoking saccades. J Neurosci. (2012) 32:3629–36. 10.1523/JNEUROSCI.5512-11.2012
74.
AbramsRAChristSE. Motion onset captures attention. Psychol Sci. (2003) 14:427–32. 10.1111/1467-9280.01458
75.
YantisSHillstromAP. Stimulus-driven attentional capture: evidence from equiluminant visual objects. J Exp Psychol Hum Percept Perform. (1994) 20:95. 10.1037/0096-1523.20.1.95
76.
SchmidMCMrowkaSWTurchiJSaundersRCWilkeMPetersAJet al. Blindsight depends on the lateral geniculate nucleus. Nature (2010) 466:373. 10.1038/nature09179
77.
EbitzRBPlattML. Neuronal activity in primate dorsal anterior cingulate cortex signals task conflict and predicts adjustments in pupil-linked arousal. Neuron (2015) 85:628–40. 10.1016/j.neuron.2014.12.053
78.
NassarMRRumseyKMWilsonRCParikhKHeaslyBGoldJI. Rational regulation of learning dynamics by pupil-linked arousal systems. Nat Neurosci. (2012) 15:1040–6. 10.1038/nn.3130
79.
KahnemanDTurskyBShapiroDCriderA. Pupillary, heart rate, and skin resistance changes during a mental task. J Exp Psychol. (1969) 79:164–7. 10.1037/h0026952
80.
BijleveldECustersRAartsH. The unconscious eye opener: pupil dilation reveals strategic recruitment of resources upon presentation of subliminal reward cues. Psychol Sci. (2009) 20:1313–5. 10.1111/j.1467-9280.2009.02443.x
81.
BradleyMMMiccoliLEscrigMALangPJ. The pupil as a measure of emotional arousal and autonomic activation. Psychophysiology (2008) 45:602–7. 10.1111/j.1469-8986.2008.00654.x
82.
PartalaTSurakkaV. Pupil size variation as an indication of affective processing. Int J Hum Comput Stud. (2003) 59:185–98. 10.1016/S1071-5819(03)00017-X
83.
LaengBSiroisSGredebäckG. Pupillometry: a window to the preconscious?Perspect Psychol Sci. (2012) 7:18–27. 10.1177/1745691611427305
84.
JoshiSLiYKalwaniRMGoldJI. Relationships between pupil diameter and neuronal activity in the locus coeruleus, colliculi, and cingulate cortex. Neuron (2016) 89:221–34. 10.1016/j.neuron.2015.11.028
85.
Aston-JonesGCohenJD. An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. Annu Rev Neurosci. (2005) 28:403–50. 10.1146/annurev.neuro.28.061604.135709
86.
BouretSSaraSJ. Network reset: a simplified overarching theory of locus coeruleus noradrenaline function. Trends Neurosci. (2005) 28:574–82. 10.1016/j.tins.2005.09.002
87.
CoolsRRobbinsTW. Chemistry of the adaptive mind. Philos Trans R Soc Lond Math Phys Eng Sci. (2004) 362:2871–88. 10.1098/rsta.2004.1468
88.
TervoDGProskurinMManakovMKabraMVollmerABransonKet al. Behavioral variability through stochastic choice and its gating by anterior cingulate cortex. Cell (2014) 159:21–32. 10.1016/j.cell.2014.08.037
89.
UeltzhöfferKArmbruster-GençDJFiebachCJ. Stochastic dynamics underlying cognitive stability and flexibility. PLoS Comput Biol. (2015) 11:e1004331. 10.1371/journal.pcbi.1004331
90.
MusslickSJangSJShvartsmanMShenhavACohenJD. Constraints associated with cognitive control and the stability-flexibility dilemma. Proceedings of the 40th Annual Meeting of the Cognitive Science Society.Madison, WI: Cognitive Science Society (2018) p. 806–11.
91.
EinhäuserWStoutJKochCCarterO. Pupil dilation reflects perceptual selection and predicts subsequent stability in perceptual rivalry. Proc Natl Acad Sci USA. (2008) 105:1704–9. 10.1073/pnas.0707727105
92.
EbitzRBHaydenBY. Dorsal anterior cingulate: a Rorschach test for cognitive neuroscience. Nat Neurosci. (2016) 19:1278–9. 10.1038/nn.4387
93.
KollingNWittmannMKBehrensTEBoormanEDMarsRBRushworthMF. Value, search, persistence and model updating in anterior cingulate cortex. Nat Neurosci. (2016) 19:1280–5. 10.1038/nn.4382
94.
ShenhavACohenJDBotvinickMM. Dorsal anterior cingulate cortex and the value of control. Nat Neurosci. (2016) 19:1286–91. 10.1038/nn.4384
95.
CostaVDRudebeckPH. More than meets the eye: the relationship between pupil size and locus coeruleus activity. Neuron (2016) 89:8–10. 10.1016/j.neuron.2015.12.031
96.
CritchleyHDTangJGlaserDButterworthBDolanRJ. Anterior cingulate activity during error and autonomic response. Neuroimage (2005) 27:885–95. 10.1016/j.neuroimage.2005.05.047
97.
EbitzRBAlbarranEMooreT. Exploration disrupts choice-predictive signals and alters dynamics in prefrontal cortex. Neuron (2018) 97:450–61.e9. 10.1016/j.neuron.2017.12.007
98.
EbitzRBSleezerBJJedemaHPBradberryCWHaydenBY. Exploratory noise governs both flexibility and spontaneous errors and is regulated by cocaine. BioRxiv (2018) 328872. 10.1101/328872
99.
GilzenratMSNieuwenhuisSJepmaMCohenJD. Pupil diameter tracks changes in control state predicted by the adaptive gain theory of locus coeruleus function. Cogn Affect Behav Neurosci. (2010) 10:252–69. 10.3758/CABN.10.2.252
100.
KossMC. Pupillary dilation as an index of central nervous system α2-adrenoceptor activation. J Pharmacol Methods (1986) 15:1–19. 10.1016/0160-5402(86)90002-1
101.
ReimerJMcGinleyMJLiuYRodenkirchCWangQMcCormickDAet al. Pupil fluctuations track rapid changes in adrenergic and cholinergic activity in cortex. Nat Commun. (2016) 7:13289. 10.1038/ncomms13289
102.
EngelTASteinmetzNAGieselmannMAThieleAMooreTBoahenK. Selective modulation of cortical state during spatial attention. Science (2016) 354:1140–4. 10.1126/science.aag1420
103.
McGinleyMJDavidSVMcCormickDA. Cortical membrane potential signature of optimal states for sensory signal detection. Neuron (2015) 87:179–92. 10.1016/j.neuron.2015.05.038
104.
McGinleyMJVinckMReimerJBatista-BritoRZaghaECadwellCRet al. Waking state: rapid variations modulate neural and behavioral responses. Neuron (2015) 87:1143–61. 10.1016/j.neuron.2015.09.012
105.
ReimerJFroudarakisECadwellCRYatsenkoDDenfieldGHToliasAS. Pupil fluctuations track fast switching of cortical states during quiet wakefulness. Neuron (2014) 84:355–62. 10.1016/j.neuron.2014.09.033
106.
HintonAH. Practical Pictorial Photography: Practical Instructions in the Application of Photography to Artistic Ends.London: Hazell, Watson & Viney, Ltd. (1898).
107.
WestonE. Photography—not pictorial. Camera Craft (1930) 37:313–20.
108.
BunnellPC. Pictorial photography. Rec Art Mus Princet Univ. (1992) 51:11–2.
109.
HammondA. Ansel Adams and objectivism: making a photograph with group f/64. Hist Photogr. (1998) 22:169–78. 10.1080/03087298.1998.10443873
110.
YeshurunYCarrascoM. Spatial attention improves performance in spatial resolution tasks. Vision Res. (1999) 39:293–306.
111.
CarrascoMLingSReadS. Attention alters appearance. Nat Neurosci. (2004) 7:308. 10.1038/nn1194
112.
ReynoldsJHPasternakTDesimoneR. Attention increases sensitivity of V4 neurons. Neuron (2000) 26:703–14. 10.1016/S0896-6273(00)81206-4
113.
WillifordTMaunsellJH. Effects of spatial attention on contrast response functions in macaque area V4. J Neurophysiol. (2006) 96:40–54. 10.1152/jn.01207.2005
114.
CarrascoMWilliamsPEYeshurunY. Covert attention increases spatial resolution with or without masks: Support for signal enhancement. J Vis. (2002) 2:4. 10.1167/2.6.4
115.
TorralbaAOlivaA. Statistics of natural image categories. Netw Comput Neural Syst. (2003) 14:391–412. 10.1088/0954-898X_14_3_302
116.
MannanSKRuddockKHWoodingDS. The relationship between the locations of spatial features and those of fixations made during visual examination of briefly presented images. Spat Vis. (1996) 10:165–88.
117.
MannanSKRuddockKHWoodingDS. Fixation patterns made during brief examination of two-dimensional images. Perception (1997) 26:1059–72. 10.1068/p261059
118.
MaysLEGamlinPD. Neuronal circuitry controlling the near response. Curr Opin Neurobiol. (1995) 5:763–8.
119.
MyersGAStarkL. Topology of the near response triad. Ophthalmic Physiol Opt. (1990) 10:175–81. 10.1111/j.1475-1313.1990.tb00972.x
120.
CharmanWNWhitefootH. Pupil diameter and the depth-of-field of the human eye as measured by laser speckle. Opt Acta Int J Opt. (1977) 24:1211–6. 10.1080/713819479
121.
MarcosSMorenoENavarroR. The depth-of-field of the human eye from objective and subjective measurements. Vision Res. (1999) 39:2039–49. 10.1016/S0042-6989(98)00317-4
122.
MatherG. The use of image blur as a depth cue. Perception (1997) 26:1147–58. 10.1068/p261147
123.
O'SheaRPGovanDGSekulerR. Blur and contrast as pictorial depth cues. Perception (1997) 26:599–612.
124.
CollinCAMcmullenPA. Subordinate-level categorization relies on high spatial frequencies to a greater degree than basic-level categorization. Percept Psychophys. (2005) 67:354–64. 10.3758/BF03206498
125.
GaoXMaurerD. A comparison of spatial frequency tuning for the recognition of facial identity and facial expressions in adults and children. Vision Res. (2011) 51:508–19. 10.1016/j.visres.2011.01.011
126.
NormanJEhrlichS. Spatial frequency filtering and target identification. Vision Res. (1987) 27:87–96. 10.1016/0042-6989(87)90145-3
127.
VuilleumierPArmonyJLDriverJDolanRJ. Distinct spatial frequency sensitivities for processing faces and emotional expressions. Nat Neurosci. (2003) 6:624–31. 10.1038/nn1057
128.
OlivaASchynsPG. Coarse blobs or fine edges? Evidence that information diagnosticity changes the perception of complex visual stimuli. Cognit Psychol. (1997) 34:72–107. 10.1006/cogp.1997.0667
129.
ShulmanGLWilsonJ. Spatial frequency and selective attention to local and global information. Perception (1987) 16:89–101. 10.1068/p160089
130.
FiorentiniAMaffeiLSandiniG. The role of high spatial frequencies in face perception. Perception (1983) 12:195–201. 10.1068/p120195
131.
EbitzRBWatsonKKPlattML. Oxytocin blunts social vigilance in the rhesus macaque. Proc Natl Acad Sci USA. (2013) 110:11630–5. 10.1073/pnas.1305230110
132.
GuastellaAJMitchellPBDaddsMR. Oxytocin increases gaze to the eye region of human faces. Biol Psychiatry (2008) 63:3–5. 10.1016/j.biopsych.2007.06.026
133.
GinsburgAP. Visual form perception based on biological filtering. In: SpillmanL.WootenB. R. editors. Sensory Experience, Adaptation, and Perception.Hillsdale, NJ: Lawrence Erlbaum Associates, Inc. (1984) p. 53–72.
134.
KauffmannLRamanoëlSPeyrinC. The neural bases of spatial frequency processing during scene perception. Front Integr Neurosci. (2014) 8:37. 10.3389/fnint.2014.00037
135.
OlivaASchynsPG. Diagnostic colors mediate scene recognition. Cognit Psychol. (2000) 41:176–210. 10.1006/cogp.1999.0728
136.
AshtianiMNKheradpishehSRMasquelierTGanjtabeshM. Object categorization in finer levels relies more on higher spatial frequencies and takes longer. Front Psychol. (2017) 8:1261. 10.3389/fpsyg.2017.01261
137.
KafkasAMontaldiD. Recognition memory strength is predicted by pupillary responses at encoding while fixation patterns distinguish recollection from familiarity. Q J Exp Psychol. (2011) 64:1971–89. 10.1080/17470218.2011.588335
138.
OldsESEngelSA. Linearity across spatial frequency in object recognition. Vis Res. (1998) 38:2109–18.
139.
GoldingerSDPapeshMH. Pupil dilation reflects the creation and retrieval of memories. Curr. Dir. Psychol. Sci. (2012) 21:90–5. 10.1177/0963721412436811
140.
GaoZBentinS. Coarse-to-fine encoding of spatial frequency information into visual short-term memory for faces but impartial decay. J Exp Psychol Hum Percept Perform. (2011) 37:1051–64. 10.1037/a0023091
141.
TanakaJWSengcoJA. Features and their configuration in face recognition. Mem Cognit. (1997) 25:583–92.
142.
WengerMJTownsendJT. Spatial frequencies in short-term memory for faces: a test of three frequency-dependent hypotheses. Mem Cogn. (2000) 28:125–42. 10.3758/BF03211581
143.
ArmelKCBeaumelARangelA. Biasing simple choices by manipulating relative visual attention. Judgm Decis Mak. (2008) 3:396–403.
144.
ShimojoSSimionCShimojoEScheierC. Gaze bias both reflects and influences preference. Nat Neurosci. (2003) 6:1317–22. 10.1038/nn1150
145.
McGintyVBRangelANewsomeWT. Orbitofrontal cortex value signals depend on fixation location during free viewing. Neuron (2016) 90:1299–311. 10.1016/j.neuron.2016.04.045
Summary
Keywords
pupil light response (PLR), pupil size, visual perception, attention, pupil light reflex, decision-making, exploration
Citation
Ebitz RB and Moore T (2019) Both a Gauge and a Filter: Cognitive Modulations of Pupil Size. Front. Neurol. 9:1190. doi: 10.3389/fneur.2018.01190
Received
04 September 2018
Accepted
27 December 2018
Published
22 January 2019
Volume
9 - 2018
Edited by
Paul Gamlin, University of Alabama at Birmingham, United States
Reviewed by
Paola Binda, University of Pisa, Italy; Sebastiaan Mathôt, Aix-Marseille Université, France
Updates

Check for updates
Copyright
© 2019 Ebitz and Moore.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: R. Becket Ebitz rebitz@gmail.com
This article was submitted to Neuro-Ophthalmology, a section of the journal Frontiers in Neurology
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.