Abstract
Does attention alter appearance? This critical issue, debated for over a century, remains unsettled. From psychophysical evidence that covert attention affects early vision—it enhances contrast sensitivity and spatial resolution—and from neurophysiological evidence that attention increases the neuronal contrast sensitivity (contrast gain), one could infer that attention changes stimulus appearance. Surprisingly, few studies have directly investigated this issue. Here we developed a psychophysical method to directly assess the phenomenological correlates of attention in humans. We show that attention alters appearance; it boosts the apparent stimulus contrast. These behavioral results are consistent with neurophysiological findings suggesting that attention changes the strength of a stimulus by increasing its ‘effective contrast’ or salience.
At any given moment, our visual system is confronted with far more information than it can process effectively. The high energy cost of neuronal activity involved in cortical computation severely limits our capacity to process this information1. Visual attention serves as a mediating mechanism, enabling us to selectively grant priority of processing to certain aspects of the visual scene. One means of granting priority is to direct one’s gaze towards the relevant location. However, many situations call for one to attend to an area in the periphery without actually directing gaze toward it. For example, when driving it is generally best to keep your eyes on the road ahead while covertly monitoring the periphery for cars, pedestrians and potential road hazards. The impact of covert attention2 on visual performance is well-documented across a range of perceptual tasks, such as visual search3–6, letter identification7,8, contrast sensitivity9–12 and spatial resolution13–16. Several studies that used single-cell recording17–22, event-related potentials23,24 and functional magnetic resonance imaging (fMRI)25–27 indicate that attentional modulation occurs as early as striate and extrastriate visual cortex.
Transient attention, a type of covert attention, is the stimulus-driven, reflexive capture of attention by an abrupt, salient peripheral cue3–6,8–10,13–16,28–30. For example, a ball rolling out into the street instantly grabs one’s transient attention, improving discriminability8–16 and speeding information processing3,4, enabling one to make a better and faster judgment of whether to swerve away. Explanations of how attention improves performance range from claims that the deployment of attention affects processing at the decisional level9–11,31,32, to claims that attention actually enhances perceptual sensitivity2–6,8–16. At the perceptual level, two prominent models have been proposed: signal enhancement (attention improves the quality of the stimulus representation9,10,15) and external noise reduction (attention diminishes the impact of stimuli outside its focus11,33).
Surprisingly, despite all the advancements in understanding visual attention, one long-standing debate remains unsettled: does attention alter appearance? Whether attention can actually affect the perceived intensity of a stimulus has been a matter of debate dating back to the founding fathers of experimental psychology and psychophysics. Whereas Helmholtz34 and William James35 believed that attention intensifies a sensory impression, Fechner35 argued that attention does not alter sensory impressions.Well over a century of attention research has passed, and although recent studies characterizing the effects of attention on early visual processes suggest effects on appearance2–30,36, very little direct empirical evidence has been brought to bear on the fundamental question regarding how attention might affect appearance31,32,37. On the one hand, it has been reported that attention reduces perceived brightness contrast37. On the other hand, it has been reported that attention does not change stimulus appearance in a number of perceptual domains, but rather reduces response variance, rendering a more veridical percept31,32. However, a number of methodological concerns limit both findings. In one study34, for example, observers were asked to make a comparison judgment between the target and one of four test patterns (held in memory), thus forcing observers to rely on a possibly biased categorical memory component for their responses31. In the other studies31,32, a concurrent task paradigm was used; because in this paradigm attention allocation is not properly controlled38–40, it is difficult to isolate the source of possible processing differences. In the same studies31,32 observers were given an unlimited response time, which allowed them to make eye movements between the simultaneously presented target and the response palette, thus confounding results attributed to covert attention with overt eye movements, which could underlie the accuracy of their judgments.
Contrast, a basic dimension of vision, is a natural candidate for understanding the relationship between attention and appearance. The effects of covert attention on contrast sensitivity are documented across a wide range of psychophysical8–12 and neurophysiological17–22 tasks. Neurophysiological findings indicate increased contrast gain for attended relative to unattended stimuli17–21. In this study, we addressed the effects of transient attention on perceived contrast. To do so, we implemented a method that enabled us to directly assess apparent contrast (Fig. 1), while circumventing the methodological limitations of previous studies. In addition, to preclude response bias, observers performed an orientation discrimination task contingent on the stimulus that appeared higher in contrast. This experimental design emphasized to observers the orientation judgment, when in fact we were interested in their contrast judgments. They were shown a pair of stimuli and asked to report the orientation of the stimulus that appeared higher in contrast: “Is the stimulus that looks higher in contrast tilted to the left or the right?” The two stimuli were Gabor patches (sinusoidal gratings of 2 or 4 cpd enveloped by a Gaussian, tilted 45° to the left or right), which appeared one on each side of a fixation point. In experiment 1, we kept the contrast of one Gabor fixed at a near-threshold level of 6% (standard patch), and varied the contrast of the other one from trial to trial (test patch), using a wider range of stimulus contrast (from 2.5 to 16%) than in previous studies31,32,37.
By assessing which stimulus observers perceived as being higher in contrast, we obtained psychometric functions describing the probability of choosing the test in reference to the standard, as a function of their contrast. The test contrast at which this function reaches 50% is the point of subjective equality (PSE). We measured these functions both when transient covert attention was directed to a particular location via a peripheral cue and when it was directed to the center of the display via a neutral cue. The peripheral cue was uninformative in terms of both stimulus orientation and contrast. This eliminated the possibility of observers giving more weight to the information at the cued location and ruled out a decisional explanation for an attentional effect6,13. In the neutral condition, we expected subjective equality to occur at physical equality. However, if transient covert attention intensifies sensory impressions, when the test patch is cued, subjective equality should occur at lower test contrasts. Conversely, when the standard patch is cued, subjective equality should occur at higher test contrasts. We found that when observers’ transient attention was drawn to a stimulus location, observers reported that stimulus as being higher in contrast than it really was, thus indicating that attention changes appearance.
RESULTS
Experiment 1: low-contrast stimuli
The results for this experiment are summarized in the appearance psychometric functions (Fig. 2a). As expected in the case of the neutral cue, the PSE for both spatial frequency stimuli reflected the veridical percept. When they were both physically the same contrast (6%), observers were at chance for reporting which stimulus appeared higher in contrast. However, with the peripheral cue, the PSE corresponded to lower test contrasts. In other words, cueing the test stimulus reduced the test contrast required to match the standard. A nested hypothesis test41 (Weibull with separate fits for each condition vs. one fit for both conditions collapsed together) revealed highly significant differences between the two conditions (P < 0.0001). Similarly, cueing the standard stimulus increased the test contrast required to match the standard (P < 0.0001).
The data from individual observers were consistent with the averaged data. They are summarized in the appearance scatterplots in which each observer’s PSEs from the neutral and peripheral cue conditions are plotted against each other (Fig. 3a). The filled circles represent when the standard was cued, and empty circles represent when the test was cued. Had there been no effect of attention on appearance, the data would have fallen on a line of slope 1 (dashed line). When the test was cued, PSEs were consistently lower (below dashed line), and when the standard was cued, PSEs were consistently higher (above dashed line).
There was a substantial change in perceived apparent contrast brought about by a peripheral cue (Fig. 4a). In this experiment, a 3.5% contrast, 4 cpd cued test stimulus appeared to the observers to be 6% contrast. Likewise, the cued stimulus at 6% contrast appeared as if it were 8.5% contrast. This difference in apparent contrast has the potential to boost performance in discrimination and localization tasks from near-chance levels to near-perfect performance10. Even in the case of this remarkably simple 45° orientation discrimination task, we found that attention improved performance. At contrasts within the dynamic range of the appearance psychometric function (above chance and below asymptote), for both spatial frequencies, performance was better with the test cue than with the neutral cue condition. Attention improved performance by 10% at PSE, and ranged from 18% at lower contrasts to 4% at higher contrasts where performance approached asymptote.
When observers’ transient covert attention was drawn to a stimulus via a peripheral cue, observers reported that stimulus as being higher in contrast than it really was, thus indicating a change in appearance with attention. To control for bias, observers were told prior to the experiment that the peripheral cue had equal probability of appearing either to the left or right of fixation and over the higher or lower contrast stimulus. To explicitly rule out the possibility that observers’ judgments were biased toward the stimulus location adjacent to the cue, we conducted a control experiment (control 1) that extended the interval between the cue and target onset to 500 ms. The time course for transient attention is short-lived: it peaks at ~120 ms and completely decays by ~250 ms3–6,8–10,13–16,28–30. As a result of the ephemeral nature of transient attention, a long interval between the cue and target should eliminate any effect that it may have on perception, so any residual difference between the neutral and peripheral cues would be attributed to a cue bias. When the cue preceded the display by 500 ms, there were no systematic differences between the neutral and peripheral conditions (Fig. 2b). Thus, when transient attention was no longer active, the appearance of the stimulus was not altered.
Experiment 2: high-contrast stimuli
The observed decrement in the attentional effect on appearance at the higher range of stimulus contrast could be due to a ceiling effect: the upper bound does not leave room for improvement, thus restricting the possibility that observers’ responses manifest an increased apparent contrast. Therefore, in this experiment we investigated whether transient attention has the potential to alter the appearance of higher-contrast stimuli. This experiment was identical to the previous one, except that we kept the contrast of the standard patch fixed at 22%, and varied the contrast of the test patch from 6% to 79%.
The pattern of results is the same for both experiments (Fig. 5). With the neutral cue, the PSE for both spatial frequency stimuli reflected the veridical percept: Observers were at chance for reporting which stimulus appeared higher in contrast when they were both at 22% contrast. Again, cueing the test stimulus reduced the test contrast required to match the standard (P < 0.0001). Similarly, cueing the standard stimulus increased the test contrast required to match the standard (P < 0.0001). The distributions of PSEs for individual observers were consistent with the averaged PSEs (Fig. 3b).We show the magnitude of change in perceived apparent contrast brought about by a peripheral cue in Figure 4b. In this experiment, a 16% contrast, 4 cpd cued test stimulus appeared to the observers to be 22% contrast. Likewise, the cued stimulus at 22% contrast appeared as if it were 28% contrast. At contrasts within the dynamic range of the appearance psychometric function, performance for 4 cpd was better for the test cue condition than for the neutral cue condition. Attention improved performance by 10% at PSE, and ranged from 15% at the lower contrasts to 4% at higher contrasts where performance reaches a maximum. At 2 cpd, performance was at ceiling across contrast levels.
As in experiment 1, we conducted a control experiment (control 2) that extended the interval between the cue and target onset to 500 ms. Again, when the cue preceded the display by 500 ms, there were no systematic differences between the neutral and peripheral conditions (Fig. 5b). Thus, when transient attention was no longer active, the appearance of the stimulus was not altered.
Experiment 3: control experiment - lower contrast
We conducted an additional control experiment (control 3) to further rule out the possibility of cue bias. Observers were asked to indicate only which of the two gratings looked lower in contrast; that is, they were not asked to perform the orientation discrimination task. If the effects were due to cue bias, then observers would still have chosen the cued stimulus more often than the uncued one. Additionally, this experiment addressed the possibility that observers could have chosen the cued stimulus more often simply because the cue could have had a facilitatory effect on the orientation discrimination task. Were this the case, the cue would have no effect on appearance when observers were not asked to report orientation. The results are inconsistent with both of these hypotheses (Fig. 6). Not only did the PSEs for cued and uncued stimuli differ, but observers consistently reported the cued stimulus less often than the uncued one, indicating that they perceived cued stimuli to be higher in contrast. Thus, even when the task instructions were changed to request observers to report the lower contrast stimulus, they still perceived the apparent contrast of a cued stimulus to be enhanced.
DISCUSSION
Does attention alter appearance? We developed a psychophysical procedure to directly address the phenomenological correlate of attention. The three experiments consistently demonstrated that transient attention increases apparent contrast for a wide range of stimulus contrasts, which in turn enabled observers to perform better in a discrimination task. Indeed, it is likely that this enhanced appearance underlies the increased contrast sensitivity observed in previous psychophysical studies8–12, and possibly mediates the attentional benefits found in many other visual tasks.
What neurophysiological correlates underlie this change in contrast appearance? Two attentional effects are observed in neural responses: contrast gain and response gain. The signature of a contrast gain is a shift in the contrast response function to the left (decreased threshold). In the case of attention, this means that less contrast is necessary for an ‘attending’ neuron to attain the same response level as a ‘non-attending’ (neutral) neuron17–21. On the other hand, the signature of response gain is an increase in firing with increasing contrast (steeper slope), reflecting an increase in strength of response for a neuron, particularly for higher contrasts17–21. The present data provide evidence for a contrast gain model, in which attention allows for greater neuronal sensitivity (decreased threshold), suggesting that attention changes the strength of a stimulus by enhancing its ‘effective contrast’ or salience. It is as if attention boosted the actual stimulus contrast17–21. The shallower slopes in the 4-cpd condition for the cued test stimulus are likely to result from the reduced range at the upper bounds of the psychometric function10,18. Although comparisons between neurophysiological and psychophysical studies should be made with caution, the present psychophysical results showed a shift in the psychometric function with attention that is consistent with a contrast gain change. The present results were also consistent with another psychophysical study in which transient covert attention affected contrast gain along the psychometric function of contrast sensitivity10. Whereas that study assessed performance in an orientation discrimination task, in the present study we directly investigated the phenomenological correlate of attention, as well as its effect on orientation discrimination.
This finding builds on a growing body of psychophysical3–16 and neurophysiological17–27 literature characterizing the effects of covert attention on early visual processing. As remarkable as the human visual and cognitive systems may be, inevitably we are still limited by both bandwidth and processing power. Visual attention is crucial in optimizing the systems’ restricted capacity. In this study, we have addressed a fundamental issue in visual attention: Does attention alter appearance? By developing a method that allowed us to assess the effects of spatial cueing on apparent contrast, for the first time we can conclude that covert attention does intensify the sensory impression of a stimulus.
METHODS
Observers
A total of 69 naive observers participated in this study. In addition to 3 trained lab members, 13 observers participated in each of the following: experiment 1 (low contrast), its control experiment (control 1), experiment 2 (high contrast) and its control experiment (control 2). Ten observers, the same 3 lab members and 7 naive subjects, participated in control experiment 3. All observers were undergraduates from the New York University Subject Pool, were naive as to the purpose of the study, and had normal or corrected-to-normal vision. Participants signed an informed consent approved by the NYU Institutional Review Board. The pattern of results was the same for the trained and the naive observers.
Apparatus
The stimuli were created on a G4 Power Macintosh using Matlab and the Psychophysics Toolbox42,43. Observers viewed the stimuli on a gamma–corrected monitor44. A video attenuator was used to drive just the green gun of a 21” IBM P260 monitor (1024 × 768; 120 Hz), thus providing a larger possible set of distinct luminance levels (~12.6 bits). Background luminance was set to 12.2 cd/m2.
Stimuli and design
A black square (0.1° × 0.1°) was presented in the center of a uniform gray background, serving as a fixation point. The fixation point was presented in the center of the screen throughout the entire experiment. There were two types of cues: peripheral and neutral. The peripheral cue was a small black dot (0.3° × 0.3°), which appeared 1.5° above the center of the location where a stimulus was about to appear. The neutral cue was the same black dot presented at fixation. The target display consisted of two Gabor patches (sinusoidal gratings enveloped by a Gaussian; 2° × 2°) presented to the left and right of fixation at 4° eccentricity along the horizontal meridian. From trial to trial, the stimuli randomly varied (with equal probability) along a number of dimensions: spatial frequency, orientation and contrast. To avoid any adaptation effects, in a given trial, the spatial frequency of both stimuli was either 2 or 4 cpd. The stimuli were independently tilted 45° either to the left or the right.
In experiment 1, one of the Gabor patches was always presented at a fixed contrast of 6% (hereafter referred to as the standard), whereas the contrast of the other Gabor (hereafter referred to as the test) was randomly sampled from a set of Michelson contrasts in 9 log increments from 2.5% to 16%. The stimuli and design were the same in control experiment 1 except that the standard’s contrast was 8%.
In experiment 2, the standard was always presented at a fixed contrast of 22%, whereas the test contrast was randomly sampled from a set of Michelson contrasts in 23 log increments from 6% to 79%. We sampled more intervals than in experiment 1 to get a more precise psychometric function. The stimuli and design were the same in control experiment 2 (standard = 22% contrast). In control experiment 3, in which observers were asked to report the lower contrast stimulus, the contrast range was the same (6–79%), but the test contrasts were sampled in 13 log increments. Note that the lower contrasts (6–16%) overlap with the higher contrasts of experiment 1.
Procedure
Each observer participated in a practice block of 75 trials and ten experimental blocks of 200 trials each, which lasted approximately 1 h. Observers viewed the display binocularly at a distance of 114 cm from the monitor with their heads stabilized by a chinrest. They were asked to fixate on the fixation point throughout the experiment. In each trial, observers were presented with a fixation point for 500 ms, after which either the peripheral or neutral cue was briefly flashed (67 ms; Fig. 1a). Following an interstimulus interval of 53 ms, the two Gabor stimuli were presented for 40 ms.
Observers performed a two-by-two alternative forced choice task: they indicated the orientation of the Gabor that appeared higher in contrast. They were instructed as follows: “Is the stimulus that looks higher in contrast tilted to the left or the right?” If the stimulus to the left of fixation appeared higher in contrast, observers indicated its orientation by pressing either ‘Z’ (leftward tilt) or ‘X’ (rightward tilt) on a keyboard with the middle or index finger of their left hand. If the stimulus to the right of fixation appeared higher in contrast, observers indicated its orientation by pressing either ‘․’ (leftward tilt) or ‘/’ (rightward tilt) on a keyboard with the middle or index finger of their right hand. Observers were informed that the peripheral cue was not informative either in terms of contrast or orientation and that it had equal probability of appearing on either the higher or lower contrast stimulus.
The 120-ms interval between the cue and target onset was chosen to maximize the effect of the peripheral cue in automatically eliciting transient attention3–6,8–10,13–16,28–30. Furthermore, the 160-ms interval between cue onset and stimulus offset was chosen to preclude eye movements45, thus ensuring that the observers performed the task under the conditions of covert attention.
In control experiments 1 and 2, the interval between the cue and target onset was increased to 500 ms. Given that this time allowed for possible eye movements, an infrared camera was used to monitor eye movements and ensure that observers did not break fixation.
In control experiment 3, observers were instructed in a different manner. Rather than asking them to indicate the orientation of the stimulus that looked higher in contrast, we asked them to report only which stimulus looked lower in contrast.
ACKNOWLEDGMENTS
A grant from the National Science Foundation (NSF) to M.C. supported this study (BCS-9910734). S.R. was supported by the Dean’s Undergraduate Research Fund at NYU College of Arts and Science, and by NSF REU Site Grant 0099716.We thank M. Landy, L.Maloney, B.McElree, D. Pelli,Y.Yeshurun and all the members in the Carrasco lab for their helpful comments.
Footnotes
COMPETING INTERESTS STATEMENT
The authors declare that they have no competing financial interests.
References
- 1.Lennie P. The cost of cortical computation. Curr. Biol. 2003;13:493–497. doi: 10.1016/s0960-9822(03)00135-0. [DOI] [PubMed] [Google Scholar]
- 2.Posner MI. Orienting of attention. Q. J. Exp. Psychol. 1980;32:3–25. doi: 10.1080/00335558008248231. [DOI] [PubMed] [Google Scholar]
- 3.Carrasco M, McElree B. Covert attention accelerates the rate of visual information processing. Proc. Natl. Acad. Sci. USA. 2001;98:5363–5367. doi: 10.1073/pnas.081074098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Carrasco M, Giordano AM, McElree B. Temporal performance fields: visual and attentional factors. Vision Res. doi: 10.1016/j.visres.2003.11.026. (in press). [DOI] [PubMed] [Google Scholar]
- 5.Nakayama K, Mackeben M. Sustained and transient components of focal visual attention. Vision Res. 1989;29:1631–1646. doi: 10.1016/0042-6989(89)90144-2. [DOI] [PubMed] [Google Scholar]
- 6.Carrasco M, Yeshurun Y. The contribution of covert attention to the set–size and eccentricity effects in visual search. J. Exp. Psychol. Hum. Percept. Perform. 1998;24:673–692. doi: 10.1037//0096-1523.24.2.673. [DOI] [PubMed] [Google Scholar]
- 7.Prinzmetal W, Presti DE, Posner MI. Does attention affect visual feature integration? J. Exp. Psychol. Hum. Percept. Perform. 1986;12:361–369. doi: 10.1037//0096-1523.12.3.361. [DOI] [PubMed] [Google Scholar]
- 8.Talgar C, Pelli DG, Carrasco M. Covert attention enhances letter identification without affecting channel tuning. J. Vis. 2004;41:23–32. doi: 10.1167/4.1.3. [DOI] [PubMed] [Google Scholar]
- 9.Carrasco M, Penpeci-Talgar C, Eckstein M. Spatial covert attention increases contrast sensitivity along the CSF: support for signal enhancement. Vision Res. 2000;40:1203–1215. doi: 10.1016/s0042-6989(00)00024-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Cameron EL, Tai J, Carrasco M. Covert attention affects the psychometric function of contrast sensitivity. Vision Res. 2002;42:949–967. doi: 10.1016/s0042-6989(02)00039-1. [DOI] [PubMed] [Google Scholar]
- 11.Lu Z-L, Dosher BA. External noise distinguishes attention mechanisms. Vision Res. 1998;38:1183–1198. doi: 10.1016/s0042-6989(97)00273-3. [DOI] [PubMed] [Google Scholar]
- 12.Lee DK, Itti L, Koch C, Braun J. Attention activates winner-take-all competition among visual filters. Nat. Neurosci. 1999;2:375–381. doi: 10.1038/7286. [DOI] [PubMed] [Google Scholar]
- 13.Yeshurun Y, Carrasco M. Attention improves or impairs visual performance by enhancing spatial resolution. Nature. 1998;396:72–75. doi: 10.1038/23936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Yeshurun Y, Carrasco M. The locus of attentional effects in texture segmentation. Nat. Neurosci. 2000;3:622–627. doi: 10.1038/75804. [DOI] [PubMed] [Google Scholar]
- 15.Carrasco M, Williams P, Yeshurun Y. Covert attention increases spatial resolution with or without masks: Support for signal enhancement. J. Vis. 2002;2:467–479. doi: 10.1167/2.6.4. [DOI] [PubMed] [Google Scholar]
- 16.Mackeben M, Nakayama K. Express attentional shifts. Vision Res. 1993;33:85–90. doi: 10.1016/0042-6989(93)90061-z. [DOI] [PubMed] [Google Scholar]
- 17.Reynolds JH, Desimone R. The role of neural mechanisms of attention in solving the binding problem. Neuron. 1999;24:19–29. doi: 10.1016/s0896-6273(00)80819-3. [DOI] [PubMed] [Google Scholar]
- 18.Reynolds JH, Pasternak T, Desimone R. Attention increases sensitivity of V4 neurons. Neuron. 2000;26:703–714. doi: 10.1016/s0896-6273(00)81206-4. [DOI] [PubMed] [Google Scholar]
- 19.Reynolds JH, Desimone R. Interacting roles of attention and visual salience in V4. Neuron. 2003;37:853–863. doi: 10.1016/s0896-6273(03)00097-7. [DOI] [PubMed] [Google Scholar]
- 20.Treue S. Neural correlates of attention in primate visual cortex. Trends Neurosci. 2000;24:295–300. doi: 10.1016/s0166-2236(00)01814-2. [DOI] [PubMed] [Google Scholar]
- 21.Martinez-Trujillo JC, Treue S. Attentional modulation strength in cortical area MT depends on stimulus contrast. Neuron. 2002;35:365–370. doi: 10.1016/s0896-6273(02)00778-x. [DOI] [PubMed] [Google Scholar]
- 22.McAdams CJ, Maunsell JHR. Effects of attention on orientation-tuning functions of single neurons in macaque cortical area V4. J. Neurosci. 1999;19:431–441. doi: 10.1523/JNEUROSCI.19-01-00431.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hillyard SA, Anllo–Vento L. Event–related brain potentials in the study of visual selective attention. Proc. Natl. Acad. Sci. USA. 1998;95:781–787. doi: 10.1073/pnas.95.3.781. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Mangun GR, Buonocore MH, Girelli M, Jha AP. ERP and fMRI measures of visual spatial selective attention. Hum. Brain Mapp. 1998;6:383–389. doi: 10.1002/(SICI)1097-0193(1998)6:5/6<383::AID-HBM10>3.0.CO;2-Z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ghandi SP, Heeger DJ, Boynton GM. Spatial attention affects brain activity in human primary visual cortex. Proc. Natl. Acad. Sci. USA. 1999;96:3314–3319. doi: 10.1073/pnas.96.6.3314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Saenz M, Buracas GT, Boynton GM. Global effects of feature-based attention in human visual cortex. Nat. Neurosci. 2002;5:631–632. doi: 10.1038/nn876. [DOI] [PubMed] [Google Scholar]
- 27.Brefczynski JA, De Yoe EA. A physiological correlate of the ‘spotlight’ of visual attention. Nat. Neurosci. 1999;2:370–374. doi: 10.1038/7280. [DOI] [PubMed] [Google Scholar]
- 28.Remington R, Johnston JC, Yantis S. Attentional capture by abrupt onsets. Percept. Psychophys. 1992;51:279–290. doi: 10.3758/bf03212254. [DOI] [PubMed] [Google Scholar]
- 29.Jonides J. Voluntary vs. automatic control over the mind’s eye’s movement. In: Long JB, Baddeley AD, editors. Attention and Performance IX. Hillsdale, New Jersey: Erlbaum; 1981. pp. 187–204. [Google Scholar]
- 30.Cheal ML, Lyon DR. Central and peripheral precuing of forced-choice discrimination. Q. J. Exp. Psychol. 1991;43:859–880. doi: 10.1080/14640749108400960. [DOI] [PubMed] [Google Scholar]
- 31.Prinzmetal W, Nwachuku I, Bodanski L, Blumenfeld L, Shimizu N. The phenomenology of attention: 2. brightness and contrast. Conscious. Cogn. 1997;6:372–412. [PubMed] [Google Scholar]
- 32.Prinzmetal W, Amiri H, Allen K, Edwards T. Phenomenology of attention: 1 color, location, orientation and spatial frequency. J. Exp. Psychol. Hum. Percept. Perform. 1998;24:1–22. [Google Scholar]
- 33.Baldassi S, Burr DC. Feature-based integration of orientation signals in visual search. Vision Res. 2000;40:1293–1300. doi: 10.1016/s0042-6989(00)00029-8. [DOI] [PubMed] [Google Scholar]
- 34.Helmholtz HV. In: Treatise on Physiological Optics. 3rd edn. Southall JP, editor. Vols. 2 & 3. Rochester, New York: Optical Society of America; 1866. [Google Scholar]
- 35.James W. The Principles of Psychology. New York: Henry Holt; 1890. [Google Scholar]
- 36.Blaser G, Sperling G, Lu Z-L. Measuring the amplification of attention. Proc. Natl. Acad. Sci. USA. 1999;96:11681–11686. doi: 10.1073/pnas.96.20.11681. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Tsal Y, Shalev L, Zakay D, Lubow RE. Attention reduces perceived brightness contrast. Q. J. Exp. Psychol. 1994;47A:865–893. doi: 10.1080/14640749408401100. [DOI] [PubMed] [Google Scholar]
- 38.Sperling G, Dosher BA. Strategy and optimization in human information processing. In: Boff KR, Kaufman L, Thomas JP, editors. Handbook of Perception and Human Performance. Vol. 1. New York: Wiley; 1986. pp. 1–65. [Google Scholar]
- 39.Joseph JS, Chun MM, Nakayama K. Attentional requirements in a “preattentive” feature search task. Nature. 1997;387:805–807. doi: 10.1038/42940. [DOI] [PubMed] [Google Scholar]
- 40.Pashler H. The Psychology of Attention. Cambridge, Massachusetts: MIT Press; 1998. [Google Scholar]
- 41.Mood AM, Graybill FA, Boes DC. Introduction to the Theory of Statistics. 3rd edn. Boston: McGraw Hill; 1974. pp. 440–442. [Google Scholar]
- 42.Brainard DH. The psychophysics toolbox. Spatial Vis. 1997;10:433–436. [PubMed] [Google Scholar]
- 43.Pelli DG. The VideoToolbox software for visual psychophysics: transforming numbers into movies. Spatial Vis. 1997;10:437–442. [PubMed] [Google Scholar]
- 44.Pelli DG, Zhang L. Accurate control of contrast on microcomputer displays. Vision Res. 1991;31:1337–1350. doi: 10.1016/0042-6989(91)90055-a. [DOI] [PubMed] [Google Scholar]
- 45.Mayfrank L, Kimmig H, Fischer B. The role of attention in the preparation of visually guided saccadic eye movements in man. In: O’Regan JK, Levy–Schoen A, editors. Eye Movements: from Physiology to Cognition. New York: North-Holland; 1987. pp. 37–45. [Google Scholar]