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Current Biology 24, 1985–1988, September 8, 2014 ª2014 Elsevier Ltd All rights reserved http://dx.doi.org/10.1016/j.cub.2014.07.030 Report Feature-Based Attention Elicits Surround Suppression in Feature Space Viola S. Sto ¨ rmer 1, * and George A. Alvarez 1 1 Department of Psychology, Harvard University, 33 Kirkland Street, Cambridge, MA 02138, USA Summary It is known that focusing attention on a particular feature (e.g., the color red) facilitates the processing of all objects in the visual field containing that feature [1–7]. Here, we show that such feature-based attention not only facilitates processing but also actively inhibits processing of similar, but not identical, features globally across the visual field. We combined behavior and electrophysiological recordings of frequency-tagged potentials in human observers to mea- sure this inhibitory surround in feature space. We found that sensory signals of an attended color (e.g., red) were enhanced, whereas sensory signals of colors similar to the target color (e.g., orange) were suppressed relative to colors more distinct from the target color (e.g., yellow). Importantly, this inhibitory effect spreads globally across the visual field, thus operating independently of location. These findings suggest that feature-based attention comprises an excit- atory peak surrounded by a narrow inhibitory zone in color space to attenuate the most distracting and potentially confusable stimuli during visual perception. This selection profile is akin to what has been reported for location-based attention [8–10] and thus suggests that such center-sur- round mechanisms are an overarching principle of attention across different domains in the human brain. Results Observers viewed overlapping sets of colored dots in the left visual field (e.g., blue among red dots) and the right visual field (e.g., green among red dots) (Figure 1A). Each dot moved in a random, haphazard fashion. Observers concurrently attended to one of the dot arrays in each visual field to detect brief intervals of coherent motion in the target colors. The colors of the dot arrays varied randomly from trial to trial. A target color for one side of the display was determined by choosing a random hue on a color wheel from CIELAB color space. The target color for the opposite side of the display was determined by rotating this hue, such that in a given trial, it could match the other side’s target color (0 apart) or differ from that target color in steps of 10 on the color wheel (up to 60 ). The distractor color for both sides was always 180 apart from one of the target colors and was identical across both hemifields. We found that it is more difficult to select two colors that are similar (but not identical) to each other than it is to select two distinct colors. Detection accuracy was highest when the two target colors were identical, and it decreased as the differ- ence in color increased, reaching a minimum at 30 (0 versus 30 ; t(19) = 3.7; p = 0.002; h 2 = 0.42). Performance gradually increased when the target colors became more distinct from each other (30 versus 60 ; t(19) = 2.7; p = 0.01; h 2 = 0.28), with performance at 60 no worse than when attending to a single color (p = 0.87; Figure 1B). To better understand the magnitude of the performance decrease at 30 , we compared accuracy in that condition to a condition in which participants attended to opposing colors in each hemifield (e.g., blue among red on one side and red among blue on the other side), which eliminates any benefits of feature-based attention [2]. Performance at 30 was similar to this baseline (p = 0.23). These behavioral data suggest that feature-based selection contains an inhibitory surround in color space: selecting two targets nearby in color space places those targets within each other’s suppressive zones, interfering with the selection of both target colors. In contrast, selecting two targets far apart in color space places them outside of those zones, enabling both targets to be selected without interference. Although this experiment did not reveal the exact nature of this interference, it is possible that suppression either reduced the motion response of the target dots or increased confus- ability between targets and distractors. We found the same results using a visual search task (see Figure S1 and Supple- mental Experimental Procedures available online). Direct Measure of Center-Surround Activation in Feature Space with SSVEPs In a second experiment, we measured the neurophysiological response to colors in unattended regions of the visual field that were perceptually close or far from a to-be-attended color. Participants performed a task similar to experiment 1 but attended to only one color in either the left or the right hemi- field. An array of colored dots that was task irrelevant was presented in the unattended visual field at the same time. The colors of these unattended dots matched the target color, diverged 30 or 60 from the target color, or matched the dis- tractor color in the attended visual field. During each trial, target and distractor dots flickered at distinct frequencies (7.1 Hz and 8.5 Hz or vice versa), and the task-irrelevant dots flickered at yet another frequency (10.7 Hz; Figure 2A). Thus, each dot array elicited distinguishable steady-state visual evoked potentials (SSVEPs). The SSVEP is the oscillatory response of the visual cortex to flickering stimuli: it has the same frequency as the driving stimulus, and its amplitude is larger for attended stimuli relative to unattended stimuli [11]. In the attended visual field, SSVEP amplitudes over occip- ital cortex were larger for targets relative to distractors (t(15) = 3.34; p = 0.004; h 2 = 0.43; Figure 2B), consistent with research showing that early visual processing of attended features is facilitated [3, 12–14]. In the unattended visual field, we found substantial differences in SSVEP amplitudes depending on the perceptual similarity to the target color (F(3,45) = 6.92; p = 0.001; h 2 = 0.32; Figure 2C). Amplitudes were largest for dot arrays matching the target color, and they were decreased for arrays 30 apart from the target color (0 versus 30 : p = 0.002; h 2 = 0.48) and for arrays matching the dis- tractor color (0 versus 180 : p = 0.0002; h 2 = 0.61), with no difference between the latter two (30 versus 180 : p = 0.57; h 2 = 0.02). SSVEPs elicited by dot arrays 60 apart from the target color showed an intermediate amplitude, which was significantly larger relative to the 30 and 180 conditions *Correspondence: [email protected]

Feature-based attention elicits surround suppression in feature space

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Feature-Based Attention Elic

Current Biology 24, 1985–1988, September 8, 2014 ª2014 Elsevier Ltd All rights reserved http://dx.doi.org/10.1016/j.cub.2014.07.030

Reportits

Surround Suppression in Feature Space

Viola S. Stormer1,* and George A. Alvarez1

1Department of Psychology, Harvard University,33 Kirkland Street, Cambridge, MA 02138, USA

Summary

It is known that focusing attention on a particular feature

(e.g., the color red) facilitates the processing of all objectsin the visual field containing that feature [1–7]. Here, we

show that such feature-based attention not only facilitatesprocessing but also actively inhibits processing of similar,

but not identical, features globally across the visual field.We combined behavior and electrophysiological recordings

of frequency-tagged potentials in human observers to mea-

sure this inhibitory surround in feature space. We foundthat sensory signals of an attended color (e.g., red) were

enhanced, whereas sensory signals of colors similar to thetarget color (e.g., orange) were suppressed relative to colors

more distinct from the target color (e.g., yellow). Importantly,this inhibitory effect spreads globally across the visual field,

thus operating independently of location. These findingssuggest that feature-based attention comprises an excit-

atory peak surrounded by a narrow inhibitory zone in colorspace to attenuate the most distracting and potentially

confusable stimuli during visual perception. This selectionprofile is akin to what has been reported for location-based

attention [8–10] and thus suggests that such center-sur-round mechanisms are an overarching principle of attention

across different domains in the human brain.

Results

Observers viewed overlapping sets of colored dots in the leftvisual field (e.g., blue among red dots) and the right visual field(e.g., green among red dots) (Figure 1A). Each dot moved in arandom, haphazard fashion. Observers concurrently attendedto one of the dot arrays in each visual field to detect briefintervals of coherent motion in the target colors. The colorsof the dot arrays varied randomly from trial to trial. A targetcolor for one side of the display was determined by choosinga random hue on a color wheel from CIELAB color space.The target color for the opposite side of the display wasdetermined by rotating this hue, such that in a given trial, itcould match the other side’s target color (0� apart) or differfrom that target color in steps of 10� on the color wheel(up to 60�). The distractor color for both sides was always180� apart from one of the target colors and was identicalacross both hemifields.

We found that it is more difficult to select two colors that aresimilar (but not identical) to each other than it is to select twodistinct colors. Detection accuracy was highest when thetwo target colors were identical, and it decreased as the differ-ence in color increased, reaching a minimum at 30� (0� versus30�; t(19) = 3.7; p = 0.002; h2 = 0.42). Performance graduallyincreased when the target colors became more distinct from

*Correspondence: [email protected]

each other (30� versus 60�; t(19) = 2.7; p = 0.01; h2 = 0.28),with performance at 60� no worse than when attending to asingle color (p = 0.87; Figure 1B). To better understand themagnitude of the performance decrease at 30�, we comparedaccuracy in that condition to a condition in which participantsattended to opposing colors in each hemifield (e.g., blueamong red on one side and red among blue on the otherside), which eliminates any benefits of feature-based attention[2]. Performance at 30� was similar to this baseline (p = 0.23).These behavioral data suggest that feature-based selection

contains an inhibitory surround in color space: selecting twotargets nearby in color space places those targets withineach other’s suppressive zones, interfering with the selectionof both target colors. In contrast, selecting two targets farapart in color space places them outside of those zones,enabling both targets to be selected without interference.Although this experiment did not reveal the exact nature ofthis interference, it is possible that suppression either reducedthe motion response of the target dots or increased confus-ability between targets and distractors. We found the sameresults using a visual search task (see Figure S1 and Supple-mental Experimental Procedures available online).

Direct Measure of Center-Surround Activation in Feature

Space with SSVEPsIn a second experiment, we measured the neurophysiologicalresponse to colors in unattended regions of the visual field thatwere perceptually close or far from a to-be-attended color.Participants performed a task similar to experiment 1 butattended to only one color in either the left or the right hemi-field. An array of colored dots that was task irrelevant waspresented in the unattended visual field at the same time.The colors of these unattended dots matched the target color,diverged 30� or 60� from the target color, or matched the dis-tractor color in the attended visual field. During each trial,target and distractor dots flickered at distinct frequencies(7.1 Hz and 8.5 Hz or vice versa), and the task-irrelevant dotsflickered at yet another frequency (10.7 Hz; Figure 2A). Thus,each dot array elicited distinguishable steady-state visualevoked potentials (SSVEPs). The SSVEP is the oscillatoryresponse of the visual cortex to flickering stimuli: it has thesame frequency as the driving stimulus, and its amplitude islarger for attended stimuli relative to unattended stimuli [11].In the attended visual field, SSVEP amplitudes over occip-

ital cortex were larger for targets relative to distractors (t(15) =3.34; p = 0.004; h2 = 0.43; Figure 2B), consistent with researchshowing that early visual processing of attended features isfacilitated [3, 12–14]. In the unattended visual field, we foundsubstantial differences in SSVEP amplitudes depending onthe perceptual similarity to the target color (F(3,45) = 6.92;p = 0.001; h2 = 0.32; Figure 2C). Amplitudes were largestfor dot arrays matching the target color, and they weredecreased for arrays 30� apart from the target color (0� versus30�: p = 0.002; h2 = 0.48) and for arrays matching the dis-tractor color (0� versus 180�: p = 0.0002; h2 = 0.61), with nodifference between the latter two (30� versus 180�: p = 0.57;h2 = 0.02). SSVEPs elicited by dot arrays 60� apart fromthe target color showed an intermediate amplitude, whichwas significantly larger relative to the 30� and 180� conditions

72

74

76

78

80

oppositecolors

A Example display

B Behavioral results

Acc

urac

y (%

cor

rect

)

Color similarity0° 10° 20° 30° 40° 50° 60°

Target colors 30° apart

Figure 1. Example Display and Behavioral Results from Experiment 1

(A) Participants attended to colored sets of dots in the left and right visual

field to detect brief intervals of coherent motion. Two colored boxes in the

center of the screen indicated which colors to attend to on which side

(in this example, the cues indicate to attend blue on the left side and

turquoise on the right side).

(B) Accuracy is lowest when the two target colors are 30� apart, and it is high

both when attending identical colors (i.e., 0�) or when attending two colors

that are not similar (i.e., 60� apart). When attending to opposing colors

on each side (e.g., blue among red on the left side and red among blue

on the right side), performance is also low and not different from the 30� con-dition. Error bars correspond to within-subject SE of the mean.

Current Biology Vol 24 No 171986

(60� versus 30�: p = 0.02; h2 = 0.29; 60� versus 180�: p = 0.01;h2 = 0.33). The difference between the 60� and 0� conditionswas not reliable across subjects (p = 0.13; h2 = 0.14), con-sistent with the hypothesis that feature-based attention isrealized largely by suppressing unattended features ratherthan solely by enhancing target features [15]. However, the(nonsignificant) tendency for higher amplitudes in the iden-tical color relative to the 60� condition suggests that theremay be some degree of facilitation.

This pattern of results mirrors the behavioral data fromexperiment 1, revealing an inhibitory surround extending toabout 30� in color space. In addition, these data demonstratethat surround suppression emerges automatically and prolif-erates throughout the visual field, at least in tasks that involvehigh competition of different features. The global nature of theinhibitory surround appears similar to the facilitatory effectsproposed in the feature similarity gainmodel [4, 16]. Accordingto this account, attention globally enhances the sensorygain of feature-selective neurons throughout the visual field,

regardless of target location. Our results suggest a similarglobal mechanism of surround suppression in feature spacethat affects sensory processing independent of location.The present study demonstrates that feature-based atten-

tion elicits a narrow inhibitory surround in feature space,similar to what has been observed for spatial attention[8–10]. This suggests that surround suppression is a unifyingprinciple underlying visual selection, as previously proposedby computational models [17]. This selection profile appearsto be optimized to resolve competition between inputs thatoverlap in their neural representations by attenuating theactivity of irrelevant stimuli nearby in feature space, presum-ably within the same cortical map. Given the map-based orga-nization of the cortex (e.g., [18–20]), a selection mechanismwith a narrow inhibitory surround would be beneficial acrossall dimensions, possibly reflecting a canonical computationthat sharpens selective processing across different domains.

Experimental Procedures

Participants

All participants gavewritten informed consent and had normal or corrected-

to-normal vision and normal color vision, assessed with Ishihara’s test for

color deficiencies [21]. Twenty observers (18–28 years old) participated in

experiment 1, and eighteen observers (18–28 years old) participated in

experiment 2; data from two participants in experiment 2 had to be excluded

from the analysis because >30% of their trials were rejected as a result of

artifacts in the electroencephalogram (EEG). The study was performed in

accordance with Harvard University regulations and was approved by

the Committee on the Use of Human Subjects in Research under the Insti-

tutional Review Board for the Faculty of Arts and Sciences.

Stimuli and Procedure

Experiment 1

Two overlapping fields of randomly moving dots in different colors were

presented concurrently in both the left and the right visual field. Each dot

array consisted of 70 circles (radius = 0.24�). The lightness factor of the

colors was kept constant (D65; 26–29 cd/m2 across all colors). The stimuli

were presented on a gray background (186 cd/m2), within 6� 3 6� rectan-

gular regions that were centered to the left and right of the vertical midline

at an eccentricity of 4�. Each trial started with the presentation of a color

cue in the center of the screen and motionless fields of dots. The cue

consisted of two colored squares in the center of the screen (0.5� 3 0.5�),with the left square indicating which color to attend to on the left side

(e.g., blue) and the right square indicating which color to attend to on the

right side (e.g., green). After 1.6 s, all dots started moving randomly for

1.2 s. The color cue remained on the screen throughout the trial.

During the movement period, each dot changed its position in a random

direction every four to seven frames (47–82 ms, random). Occasionally,

the target dots of one field could move coherently in one of four directions

(up, down, left, or right) for 230 ms. Only 80% of the dots moved coherently

to prevent observers from tracking single dots. The coherent motion

occurred randomly in the interval between 200ms and 1,100ms after move-

ment onset. Coherent motion parameters were manipulated independently

for each hemifield; thus, in any given trial, a coherent motion could appear

on both sides. For each side (left or right), in ½ of the trials, the target colored

dots moved coherently; in ¼ of the trials, the distractor colored dots moved

coherently; and in the remaining ¼ of the trials, no coherent motion

occurred. Which dot array moved coherently and motion direction were

randomized across the experiment.

Observers were instructed to concurrently attend to one of the dot arrays

in each visual field and to detect brief intervals of coherent motion of the

dots in the to-be-attended colors (targets). Observers were instructed to

keep their eyes on the color cues in the center of the screen throughout

each trial. At the end of each trial, a question mark appeared on one side

of the screen, and the observer had to indicate whether the target dots

moved coherently on that side of the display. Once a response button

was pressed, the observer had to make the same response for the other

side. When a coherent motion was detected, the observer had to indicate

its direction (up, down, left, or right) by pressing one of the arrow keys on

the keyboard. Otherwise, the observer pressed the control key. The order

A B

C

Figure 2. Example Display and SSVEP Re-

sponses from Experiment 2

(A) A colored arrow in the center of the screen

cued participants to attend to a colored dot field

on one side of the screen (here: blue dots on the

left side). A dot array was also presented on the

unattended side, and its color varied with respect

to the target color. Each field of dots flickered at

distinct frequencies to separate neural responses

for each of them.

(B) Grand-averaged amplitude spectrumobtained

by Fourier transformation of the SSVEP wave-

forms shows clear attentional enhancement for

target colors relative to distractor colors at the

stimulating frequencies. Error bars correspond

to within-subject SE of the mean.

(C) Grand-averaged SSVEP responses for the field

of dots in the unattended visual field show the

highest responses to colors matching the target

color (0�) and the lowest responses to colors 30�

distant from the target color and the distractor

color, with an intermediate response to colors

60� distant from the target color. Topographical

scalp maps show peak amplitudes at occipital

scalp sites. Error bars correspond to within-sub-

ject SE of the mean.

Global Suppression of Similar Features1987

of the side tested first in each trial (left or right) was counterbalanced across

the experiment. Each participant completed 32 practice trials, followed by a

total of 512 experimental trials (64 per color condition).

Experiment 2

The stimuli and experimental procedure were similar to experiment 1. Two

overlapping sets of colored dots were presented on one side of the display

(e.g., blue and red on the left), and another array of colored dots was pre-

sented on the other side of the display (e.g., green on the right). Each dot

array in the to-be-attended hemifield consisted of 130 stimuli (260 total),

and the dot array in the other unattended hemifield consisted of 260 dots

(radius = 0.32�). The stimuli were presented on a black background

(0.02 cd/m2) within 7� 3 14� rectangular regions that were centered to the

left and right of the vertical midline at an eccentricity of 4�. At the beginning

of each trial, a colored arrow in the center of the screen (0.5�) cued ob-

servers to which hemifield and color they should attend. The cue appeared

together with motionless colored dot arrays for 500–800 ms (jittered) and

stayed on the screen throughout each trial. After the cue period, all dots

moved randomly for 2.6 s (for details, see Experiment 1), and participants

had to detect brief intervals of coherent motion of the target colored dots.

In ½ of the trials, target colored dots moved coherently (left, right, up, or

down; counterbalanced). In ¼ of the trials, the dots in the distractor color

moved coherently, and, in the remaining ¼ of the trials, no coherent motion

occurred. The dot array in the unattended visual field never moved coher-

ently, and participants never attended to that side. In ½ of the trials, partic-

ipants attended to colored dots on left side, and, in the remaining ½ of the

trials, participants attended to colored dots on the right side. Participants

were instructed to maintain their gaze in the center of the screen throughout

each trial. Horizontal eye movements were moni-

tored with electrooculogram (see Electrophysio-

logical Recordings and Analysis).

During the movement period, each of the dot

arrays flickered at a distinct frequency. In ½ of

the trials, the target colored dots flickered at

7.1 Hz (six frames on, six frames off; mean

luminance: 1.6 cd/m2), and the distractor colored

dots flickered at 8.5 Hz (five frames on, five frames

off; mean luminance: 1.9 cd/m2). In the remaining

½ of the trials, this assignment was reversed. The

dot array on the unattended side always flickered

at 10.7 Hz (four frames on, four frames off; mean

luminance: 2.1 cd/m2).

Colors were picked as in experiment 1, with

the exception that the same five color sets were

used for all participants (see Supplemental

Experimental Procedures) and that only four color conditions were chosen

to increase the signal-to-noise ratio. Each color was presented equally often

in each attention condition to eliminate any differences in sensory input

across conditions. For example, the exact same green was presented on

the unattended visual field while participants attended to a target color

exactly matching that green, a color 30� apart from that green, or a color

60� apart from that green; thus, any differences observed for the SSVEP

responses elicited by that green must be due to differences in which color

is attended to in the other hemifield. Participants completed 32 practice

trials and 640 experimental trials. Participants performed at 78% correct

(60.07), with no differences between the color conditions (p > 0.22).

Electrophysiological Recordings and Analysis

EEG was recorded continuously from 32 Ag/AgCI electrodes mounted in

an elastic cap and amplified by an ActiCHamp amplifier (BrainVision).

Electrodes were arranged according to the 10-10 system, with three

additional electrodes positioned inferior to the occipital sites to ensure

adequate spatial sampling from the posterior scalp. Signal processing

was performed with MATLAB (MathWorks) using the EEGLAB toolbox [22]

and custom-written scripts. A semiautomated procedure was performed

to remove epochs from the EEG that were contaminated by eyemovements,

blinks, and myographic artifacts. Artifact-free data were rereferenced to

the average reference. The averaging epochs extended from 400 ms to

2,500 ms after movement onset. The SSVEP amplitudes were quantified

as the absolute value of the complex Fourier coefficients for each frequency;

that is, for each participant and condition, the maximum absolute value

within a small band of the respective stimulation frequency (60.2 Hz) was

Current Biology Vol 24 No 171988

chosen and then averaged across 11 posterior electrodes (I3, Iz, I4, O1, Oz,

O2, PO3, PO4, PO7, PO8, POz). For the attended visual field, SSVEP

amplitudes were normalized for target and distractor color by dividing the

amplitude by the mean amplitude of target and distractor color for each fre-

quency separately for each participant [23]. The normalized amplitudes

were collapsed across frequencies to reveal amplitude values for targets

and distractors. Similarly, the SSVEP amplitudes were normalized for the

dot array in the unattended visual field by dividing the amplitude for each

condition by the mean amplitude across all four conditions. The same

pattern was observed when we analyzed only lateralized electrodes,

excluding any possible contribution from the midline responses (see Sup-

plemental Experimental Procedures).

Pairwise t tests were conducted to examine the SSVEP amplitudes

for target and distractor colors in the attended visual field. The SSVEP

responses in the unattended visual field were analyzed by a repeated-

measures ANOVA with the factor color similarity (with respect to the target

color). After establishing a main effect of color similarity, pairwise t tests

were performed.

Supplemental Information

Supplemental Information includes Supplemental Experimental Procedures

and one figure and can be found with this article online at http://dx.doi.org/

10.1016/j.cub.2014.07.030.

Acknowledgments

This work was supported by a Marie Curie Fellowship (EU Grant PIOF-GA-

2012-329920 to V.S.S.) and by a National Science Foundation CAREER

Award (BCS-0953730 to G.A.A.). We thank Timothy Brady for helpful com-

ments on the manuscript.

Received: June 4, 2014

Revised: July 10, 2014

Accepted: July 11, 2014

Published: August 21, 2014

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Current Biology, Volume 24

Supplemental Information

Feature-Based Attention Elicits

Surround Suppression in Feature Space

Viola S. Störmer and George A. Alvarez

1

Supplemental Data

We tested whether the suppressive surround measured in Experiment 1

would also be observed in a visual search task. It is well known that observers can

tune their attention to particular colors, effectively limiting visual search to the

subset of items that match the target color (Egeth et al., 1984). Here we tested

whether it is possible to tune attention to multiple target colors at once, and

whether the effectiveness of this attentional selection is limited by the same

surround suppression as the motion task used in Experiments 1 and 2. As shown in

Figure S1B, search accuracy was highest when participants were cued to one color

only (0°), and decreased as the difference between the two target colors increased,

reaching a minimum at 30° (0° vs. 30°, t(19)=4.25; p<0.0001; 2=.48). Performance

gradually increased when the target colors became more distinct from each other

(i.e., 30° vs. 45°; t(19)=1.1; p=0.29; 2=.06; 30° vs. 60°; t(19)=2.2; p=0.04; 2=.21;

30° vs. 75°; t(19)=2.4; p=0.02; 2=.23), with performance at 75° similar to when

attending to a single color (p=.51). To approximate the magnitude of the drop in

performance for the 30°-apart condition, accuracy in that condition was compared

to accuracy in the condition in which all stimuli were in the same color and

participants could not focus on specific colors in the cueing interval. Participants’

performance in the 30°-apart condition was just as low as with no meaningful color

cues (p=.36), indicating that observers failed to efficiently select two perceptually

similar colors. Overall, the pattern of results matches the pattern of results

observed in Experiment 1. Selecting two perceptually similar colors is more difficult

than selecting two perceptually distinct colors.

Figure S1: Trial structure and behavioral results. (A) Participants were instructed to attend to the placeholders that matched the two cue colors in the center of the screen to subsequently find the letter T and indicate its orientation. (B) Visual search performance shows a clear drop in accuracy when the two potential target colors were 30° apart, but high performance when target colors were perceptually less similar (e.g., 60° or 75° apart). Accuracy for the 30° condition was just as low as in a condition with no meaningful color cues (no feature-based attention condition). These results replicate the pattern observed in the dot-array task reported in the main manuscript (Experiment 1), see Figure 1.

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Supplemental Experimental Methods

Visual search experiment

Participants. Twenty observers (age range: 18-28 years) participated in the Visual

Search experiment.

Stimuli and Procedure. The task was to find a target letter (T) among distractor

letters (Ls). Each display consisted of 40 colored stimuli that were presented within

17° x 17° rectangular regions of the screen. The background color was black

throughout the experiment (0.02 cd/m2). Each stimulus subtended 0.7° x 0.7°, and

was presented at random locations with the constraint of a minimum distance of 1°

(border to border).

Figure S1A illustrates a single trial of the experiment. Similar to Experiment

1, each trial started with the presentation of two colored squares in the center of the

screen, indicating the potential target color (e.g., blue or green). Importantly, the

two colored squares did not indicate the location (e.g., side of the visual field), but

only the color of the target stimulus. Together with the cues, colored waffle-shaped

placeholders were presented. The placeholders had the same colors as the letters in

the subsequent search display. Participants were instructed to attend to the

placeholders that matched the cue colors and were informed that the target would

appear within the cued subset. The color cues were 100% valid. The placeholders

disappeared after 1.6 s to reveal the letters. On each search display one target letter

T was presented in one of the two potential target colors (e.g., either green or blue),

and was either tilted upright or inverted. Half of the distractors were randomly

oriented Ls (“easy distractors”), with half of them colored in one of the potential

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target colors (e.g., blue), and the other half colored in the other potential target color

(e.g., green). The remaining half of the distractors had the vertical line shifted to

look more similar to the letter T (“difficult distractors”), and appeared in a color

180° apart from the mean of the potential target colors. Because the distractors

within the cued color set were "easy distractors", this design encouraged

participants to use the color information in the cue display to attend to the potential

target colors to enable finding the target quickly. The search display was presented

very briefly (500 ms) to further push participants to select relevant colors during

the cueing display (see Figure 1A, for an example trial sequence).

The colors were selected as in Experiment 1, with the only difference that the

to-be-attended colors differed in steps of 15° on the color wheel, and up to 75°

apart, revealing six different color attention conditions. Furthermore, we added a

baseline condition in which all stimuli had the same color, such that participants

could not use feature-based attention to find the target more efficiently.

SSVEP experiment (Exp. 2)

Color selection. The following RGB values correspond to the target colors of the five

color sets: 255, 121, 168; 238, 169, 54; 238, 150, 71; 148, 183, 69; 47, 102, 117;

Analysis of SSVEP responses at lateralized electrode sites. The SSVEP responses were

examined separately at lateralized electrode sites I3, I4, O1, O2, PO7, PO8. These

electrode sites pick up SSVEP signals from the flickering dots most distant from the

vertical midline, and the SSVEP responses at these lateralized electrodes should

thus not be driven by the flickering dots nearby the midline. Similar to the main

analysis reported in the paper, we found a main effect of color similarity

(F(3,45)=9.03, p=0.0002, 2=0.37); pairwise comparisons showed the same pattern

as reported in the main paper: 0° vs. 30°: p=0.002; 0° vs. 180°: p=0.0005; 60° vs. 30°:

p=0.005; 60° vs. 180°: p=0.002, with no reliable differences between 60° and 0° , and

30° vs. 180°. This additional analysis shows that we observe an inhibitory surround

even at electrode sites that mostly pick up activation from dots at more distant

locations from the midline, supporting the conclusion that suppression spreads

globally throughout the visual field.

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