 |
| Volume 4, Number 7, Article 2, Pages 539-551 |
doi:10.1167/4.7.2 |
http://journalofvision.org/4/7/2/ |
ISSN 1534-7362 |
Can attention selectively bias bistable perception? Differences between binocular rivalry and ambiguous figures
Ming Meng |
Department of Psychology, Princeton University,
Princeton, NJ, USA |
|
Frank Tong |
Department of Psychology, Princeton University,
Princeton, NJ, USA |
|
Abstract
It is debated whether different forms of bistable perception result from common or separate neural mechanisms. Binocular rivalry involves perceptual alternations between competing monocular images, whereas ambiguous figures such as the Necker cube lead to alternations between two possible pictorial interpretations. Previous studies have shown that observers can voluntarily control the alternation rate of both rivalry and Necker cube reversal, perhaps suggesting that bistable perception results from a common mechanism of top-down selection. However, according to the biased competition model of selective attention, attention should be able to enhance the attended percept and suppress the unattended percept. Here, we investigated selective attentional modulation of dominance durations in bistable perception. Observers consistently showed much weaker selective attentional control for rivalry than for Necker cube reversal, even for rivalry displays that maximized the opportunities for feature-, object-, or space-based attentional selection. In contrast, nonselective control of alternation rate was comparably strong for both forms of bistable perception and corresponded poorly with estimates of selective attentional control. Our results support the notion that binocular rivalry involves a more automatic, stimulus-driven form of visual competition than Necker cube reversal, and as a consequence, is less easily biased by selective attention.
 |
|
History
Received September 23, 2003; published July 1, 2004
Citation
Meng, M. & Tong, F. (2004). Can attention selectively bias bistable perception? Differences between binocular rivalry and ambiguous figures.
Journal of Vision, 4(7):2, 539-551,
http://journalofvision.org/4/7/2/,
doi:10.1167/4.7.2.
Keywords
vision, visual perception, visual attention, binocular rivalry, bistable perception, ambiguous figures, Necker cube, cognitive control
for related articles by these authors
for papers that cite this paper |
The visual system interprets most visual scenes
according to a single best interpretation; however, certain types of stimuli
lead to spontaneous perceptual alternations between two equally compelling
interpretations. For example, in binocular rivalry, incompatible monocular
images presented to the two eyes lead to spontaneous alternations between one
monocular image and the other. Similarly, ambiguous figures such as the Necker
cube, Rubin’s face/vase, or the duck/rabbit involve pictorial depictions
that can be perceptually organized in more than one way. These forms of bistable
perception exemplify the interpretive nature of vision, and may serve as useful
tools to investigate how the visual system selects a particular interpretation
to be represented in awareness. A growing number of psychophysical,
physiological, and neuroimaging studies have relied on bistable phenomena to
investigate perceptual selection and the neural correlates of visual awareness
(for reviews, see Blake & Logothetis, 2002; Tong, 2003). However, an important question that
remains to be addressed is whether different forms of bistable perception result
from common or separate neural mechanisms.
It is generally thought that bistable perception
results from lateral competition between visual representations at some level of
the visual pathway. Some evidence suggests that binocular rivalry results from
an earlier form of visual competition than ambiguous figure reversal. Binocular
rivalry involves fluctuations in the phenomenal visibility of low-level
features, whereas in ambiguous figure reversal, the low-level features remain
intact while the high-level organization of those features changes over time
(Tong, 2001). Binocular rivalry also seems
to be more automatic than ambiguous figure reversal. Rock and Mitchener ( 1992) found that only one third of naïve
observers reported spontaneous reversals for ambiguous figures, and that
knowledge of reversibility helped naïve observers to perceive ambiguous
figure reversals (see also Girgus, Rock, & Egatz, 1977). In contrast,
binocular rivalry occurs automatically for most observers with normal binocular
vision (Blake, 2001). There is also
considerable psychophysical and neuroimaging evidence to suggest that binocular
rivalry results from low-level interocular competition between monocular
channels (Blake, 1989; Blake, Westendorf,
& Overton, 1980; Nguyen, Freeman, &
Wenderoth, 2001; Polonsky, Blake, Braun, &
Heeger, 2000; Tong & Engel, 2001).
However, other psychophysical and neurophysiological
evidence suggests that binocular rivalry also involves competition between
high-level pattern representations, similar to what is presumed to occur in
ambiguous figure reversal (Kovacs, Papathomas, Yang, & Feher, 1996; Logothetis, Leopold, & Sheinberg, 1996; Sheinberg & Logothetis, 1997). According to pattern competition
theory, binocular rivalry and ambiguous figure reversal may reflect a common
form of neural competition between high-level form representations.
An alternative to both interocular and pattern
competition theories is the proposal that all forms of bistable perception
result from a common mechanism of attentional selection (Helmholtz, 1866/ 1924). Top-down selection theory forwards
that attention-related frontal-parietal areas are responsible for initiating
perceptual alternations by sending top-down signals to guide activity in visual
cortex toward one representation or another (Leopold & Logothetis, 1999). One functional imaging study found
that frontal and parietal brain regions are more active when observers report
binocular rivalry alternations than when they report steady-state periods in
which one stimulus maintains dominance (Lumer, Friston, & Rees, 1998). Tong, Wong, Meng, and McKeeff ( 2002) also found greater prefrontal activity
during voluntary control than passive viewing of the Necker cube. These
neuroimaging results indicate that frontal-parietal activity is correlated with
bistable alternations, but do not necessarily indicate a causal role for these
regions in mediating these alternations.
To evaluate these different
theories, we investigated whether selective attention can bias different forms
of bistable perception, focusing on binocular rivalry and Necker cube reversal.
By selective attention, we refer to the ability to enhance the desired
perceptual interpretation and to suppress the unwanted perceptual interpretation
during bistable perception. Previous studies have shown evidence of selective
attentional control over ambiguous figure reversal (Gomez, Argandona, Solier,
Angulo, & Vazquez, 1995; Horlitz &
O'Leary, 1993; Liebert & Burk, 1985; Peterson, 1986; Toppino, 2003). However, it is not known whether
selective attention can bias binocular rivalry.
According to top-down selection theory, selective
attention should have an equally powerful influence on both rivalry and
ambiguous figure reversal. Such attentional effects would also be consistent
with the predictions of pattern competition theory. If one assumes that
different forms of bistable perception are mediated by similar mechanisms of
pattern-based competition, it follows that attention should be about equally
effective at biasing different forms of bistable competition. However, if
attention can bias ambiguous figure reversal but not binocular rivalry, this
would support the notion that binocular rivalry differs from other forms of
bistable perception, consistent with the predictions of interocular competition
theory.
We investigated whether
selective attention can bias dominance durations during bistable perception.
According to the biased competition model of selective attention, concurrent
visual inputs compete for representation across a network of visual areas, and
attention serves to enhance the neural representation of attended stimuli and to
suppress the neural representation of unattended stimuli (Desimone & Duncan,
1995). Here, we assessed selective
attentional control of bistable perception by measuring observers’ ability
to increase the duration of the desired perceptual interpretation and to
decrease the duration of the undesired perceptual interpretation. Previous
studies have demonstrated that attention can strongly bias dominance durations
during ambiguous figure reversal (Gomez et al., 1995; Horlitz & O'Leary, 1993; Liebert & Burk, 1985; Peterson, 1986; Toppino, 2003). If rivalry results from the same
mechanisms as ambiguous figure reversal, then attention should be able to bias
the dominance durations of binocular rivalry. However, if selective attention
leads to much weaker bias effects for binocular rivalry, this would favor the
notion that rivalry differs from ambiguous figure reversal and involves a more
automatic, stimulus-driven form of visual competition.
Our measure of attention differs from previous studies,
which focused on voluntary control over alternation rates during bistable
perception (e.g., George, 1936; Lack, 1971, 1978;
Meredith, 1962; Struber & Stadler, 1999). Such voluntary control over alternation
rates may not necessarily reflect attentional selection. Just as increasing the
signal strength of two rivaling stimuli leads to more rapid alternations, coarse
physiological factors, such as increases in arousal, neural excitation, or the
frequency of blinks and microsaccades, could easily increase the rate of
alternation in a competitive network in a nonselective manner. Instead,
attentional control should be reflected by the observer’s ability to
selectively enhance the desired percept while suppressing the unwanted percept.
Experiments 1 and 2 measured the extent of selective attentional
control over Necker cube reversal and binocular rivalry, respectively, in
naïve observers. The rivalry stimulus consisted of a red house and a green
face to maximize the possible opportunities for feature-based and object-based
attentional selection. Experiment 3 tested the
generality of these effects in experienced observers, and further investigated
whether selective attentional control of bistable perception differed from
nonselective control of alternation rate. Experiment
4 used a spatially biased rivalry display to evaluate the extent to which
rivalry can be biased by bottom-up spatial factors of eye position as compared
to top-down effects of spatial attention. All four experiments consistently
revealed much greater selective attentional control of Necker cube reversal than
binocular
rivalry. Experiment 1: Attentional modulation of the Necker cube
The Necker cube was chosen because it is one of the
most commonly studied ambiguous figures (George, 1936; Gomez et al. 1995; Horlitz & O'Leary, 1993; Kawabata, Yamagami, & Noaki, 1978; Long & Toppino, 1981; Long, Toppino, & Mondin, 1992; Necker, 1832; Toppino, 2003). Moreover, people show less
attentional control of alternation rates for the Necker cube than for reversible
figures that have multiple object interpretations (e.g., duck/rabbit, chef/dog)
(Struber & Stadler, 1999). Thus, if
naïve observers can selectively bias Necker cube reversal, it seems
reasonable to assume that attentional control should be at least as effective
for other such reversible figures.
We also assessed whether bottom-up factors such as
fixation position could bias perception of the Necker cube ( Figure 1a). Previous studies have shown that
fixation position can bias perception of the Necker cube to a small extent
(Kawabata et al., 1978; Toppino, 2003). This manipulation allowed us to
compare the magnitude of top-down control and bottom-up influences, and also to
test for possible interactions between bottom-up and top-down factors.
Figure 1. A. Necker cube stimuli in Experiment 1. Only one of the three crosshairs was
presented in each trial as a fixation point. B. Binocular rivalry stimuli in Experiment 2. The contrast of the face was kept
fixed at 30% while the contrast of the house was manipulated on each trial (15,
30, or 60%). C. Binocular rivalry
stimuli in Experiment 4. The contrast of the
left-tilted grating decreased linearly from left to right and the right-tilted
grating increased from left to right (contrast range 10-90%).
Observers consisted of 16 undergraduate or graduate
students from Princeton University who received payment or course credit in an
introductory psychology course for participation. All observers had normal or
corrected-to-normal visual acuity, and were naïve to the purpose of the
experiment.
The Necker cube (width = 8.2°) was presented on a
white background in the center of an Apple 17” CRT monitor ( Figure 1a). The fixation crosshair (size
0.3°) was presented either in the center, 2.2° to the lower left of
the center or 2.2° to the upper right of the center, to test if eye
position could bias perception. Observers were instructed to maintain fixation
throughout each 90-s trial and to avoid making eye movements. A chin rest was
used to maintain head stability at a viewing distance of 40 cm.
There were three experimental conditions: (1)
“just look at the cube passively”; (2) “attempt to perceive
the cube from the top view for as long as possible” (i.e., as if seen from
above); and (3) “attempt to perceive the cube from the bottom view for as
long as possible” (i.e., as if seen from below). In total, there were nine
conditions (3 fixation positions x 3 instructions). After two practice trials of
passive viewing, observers received the nine conditions in a mixed randomized
order (3 trials/condition). Observers continuously monitored their perceptual
state and reported perceptual switches by pressing one of three keys to indicate
when they perceived the bottom view of the Necker cube (as if seen from below),
the top view, or an indeterminate/flat interpretation of the Necker cube.
Observers were allowed to rest between
trials.
Dominance durations were normalized to control for
individual differences in alternation rate and to improve statistical
sensitivity to possible differences between conditions. We first calculated the
mean duration of the bottom view and top view percepts for each individual
observer across all trials. Mean dominance durations ranged from 1.5 to 10.9 s
for individual observers with a group average of 5.2 s. Normalized dominance
durations were calculated by dividing the duration of each reported percept by
the mean dominance duration for that observer. Although each individual’s
dominance durations followed a gamma-shaped distribution with some rightward
skew, the use of normalized mean dominance durations provided a representative
measure of the data by equally weighting all observations for all observers.
Moreover, the distribution of normalized mean dominance durations across
subjects appeared to be normally distributed as determined by tests of skewness
and kurtosis. This was true for Experiments 1- 4, and thus, all data analyses met the assumptions of analysis
of variance. Within-subjects analysis of variance and planned contrasts were
performed to compare the mean normalized dominance durations as a function of
attentional condition and fixation position.
On average, observers reported seeing the top, bottom,
and indeterminate percepts of the Necker cube for 47.5%, 44.4%, and 8.1% of the
time, respectively. Figure 2 shows the mean normalized dominance durations for bottom view (left) and top view (right) for all 16 observers. Note that all attentional control conditions are clearly separated. Figure 2.
Mean normalized dominance durations for perceiving the bottom view (left)
and top view (right) during selective attentional control of the Necker cube in
Experiment 1 ( N=16). Observers were instructed either to passively view the Necker cube (black solid line), to try to attend to the bottom view interpretation (green dashed line), or to try to attend to the top view interpretation (red dotted line). Error bars represent ±1 SEM. Note that selective attention both facilitated the perception of the attended percept and inhibited perception of the unwanted percept, consistently across all fixation positions.
The factor of attentional control was highly
significant for both reported top views
(F(2,
30) = 30.36, p
<
107) and reported
bottom views
(F(2,
30) = 40.39, p
<
108). Observers
demonstrated a strong ability for both increasing the dominance duration of
desired percept and decreasing the dominance duration of undesired percept for
the Necker cube. When instructed to attempt to perceive the cube from the top
view, observers were able to increase the dominance duration of top view
(F(1,
15) = 6.65, p
< .03), and to decrease the
dominance duration of bottom view
(F(1,
15) = 19.80, p
< .0005), relative to passive
viewing. Likewise, attending to the bottom view led to a significant increase in
dominance durations for the bottom view
(F(1,
15) = 36.35,
p
< .0001) and a significant decrease in dominance durations for the top
view
(F(1,
15) = 32.47, p
< .0001), relative to passive
viewing.
The factor of fixation position was significant when
observers reported bottom view
( F(2,
30) = 10.12, p < .0005), but
failed to reach significance when observers reported top view
( F(2,
30) = 1.68, p
= .203). There was no significant
interaction between attention and fixation position for both views
( F
< 2). Our results agree with another recent study of Necker cube
perception, which also found that the effect of selective attention was much
more powerful than, and independent of, the effect of fixation position
(Toppino, 2003). However, these findings
differ somewhat from Suzuki and Peterson’s ( 2000) study of bistable apparent motion, in which
they observed a significant interaction between top-down and bottom-up factors
indicating a multiplicative effect of attention.
Our results demonstrate that naïve observers have
strong selective attentional control over Necker cube reversal. Selective
attentional control proved to be considerably more powerful than the bottom-up
bias induced by shifts in fixation position. Observers can selectively enhance
the attended percept while suppressing the unwanted percept of the Necker cube
via top-down selection.
Experiment 2: Attentional modulation of binocular rivalry
To test for attentional control of binocular rivalry,
we decided to use a red house and a green face as rivalry stimuli rather than
conventional luminance gratings. The images were adopted from previous fMRI work
from our lab, which demonstrated powerful awareness-related modulations during
rivalry in high-level stimulus-selective regions of ventral extrastriate cortex
(Tong, Nakayama, Vaughan, & Kanwisher, 1998). These stimuli were selected to maximize
opportunities for attentional selection on the basis of differences in color,
visual form, and object category. Feature and object-based attention can
effectively bias perception under normal, dioptic viewing conditions (for a
review see Kanwisher & Wojciulik, 2000), and could conceivably facilitate
attentional selection during rivalrous dichoptic viewing. If selective
attentional control is much weaker for binocular rivalry under such optimized
conditions than for Necker cube reversal, then this would suggest a pervasive
difference between these two forms of bistable perception.
On each trial, observers were instructed either to
attend to the face, to attend to the house, or to view the stimuli passively,
while reporting their online perception. Because attentional instructions might
bias an observer’s judgment of relative dominance during ambiguous periods of perceptual blending or piecemeal rivalry, we instructed observers to adopt a strict criterion for reporting exclusive dominance, and excluded all blend percepts from the analysis. The luminance contrast of the house was manipulated to bias perceptual dominance in a bottom-up fashion. This allowed us to compare the magnitude of top-down control and bottom-up influences, and also to test for possible interactions between bottom-up and top-down factors.
Observers consisted of 16 undergraduate or graduate
students from Princeton University who received payment or course credit in an
introductory psychology course for participation. All observers had normal or
corrected-to-normal visual acuity, and exhibited normal binocular perception of
random-dot stereograms (see procedure below). All observers were naïve to
the purpose of the
experiment.
A mirror stereoscope was used to present rivalry stimuli to corresponding retinal locations. Random-dot stereograms of depth-defined letters were used to test if observers had normal binocular vision and to ensure that the stereoscope was properly aligned. Only observers who could correctly identify the depth-defined letters were allowed to continue (two observers were excluded by these criteria). A chin rest was used to maintain head stability at a viewing distance of 60 cm. Rivalry stimuli consisted of a red image of a house presented to the observer’s left eye and a green image of
a face presented to the observer’s right eye (size = 4.2° ×
4.2°, see Figure 1b). The two monocular
images were set to the same mean luminance and presented on a mean yellow
background (3.3 cd/m 2). A fixation crosshair (0.14° ×
0.14°) was placed in the center of each image. Black circles (5.3°
wide) and black square frames (11.1° wide) surrounded each monocular image
to aid binocular fusion. The face was kept at 30% contrast while the contrast of
the house was varied from trial to trial to bias perceptual dominance (15%, 30%,
or 60%). Observers were instructed to maintain fixation and to (1) “just
look at the stimuli passively”; (2) “try to maintain the percept of
the house for as long as possible”; and (3) “try to maintain the
percept of the face for as long as possible.” There were three contrasts
of the house and three attentional conditions for a total of nine condition
types. After two practice trials, each of the nine condition types was presented
4 times each in a randomized mixed-trial design and each trial lasted 60 s.
Observers continuously monitored their perceptual state and reported perceptual
switches by pressing one of three keys to indicate when they saw the house, the
face, or a blend/piecemeal rivalry.
Dominance durations were normalized using the same
method as described in Experiment 1. ANOVAs were
performed to analyze the mean normalized dominance durations for each
condition.
On average, the proportion of exclusive dominance for
the house and face was 27.6% and 28.0%, respectively. Observers reported a
fairly high incidence of blending or piecemeal rivalry (44.5% of total viewing
time), presumably because they were instructed to adopt a strict criterion for
exclusive dominance and especially because the rivalry stimuli were quite large.
Figure 3 shows the
mean normalized dominance durations for perception of the face (left) and house
(right). The factor of contrast was highly significant for both house
perception,
F(2,
30) = 24.62, p
<
106, and face
perception,
F(2,
30) = 34.53, p
<
107. This is
consistent with previous studies, which showed that increasing the contrast of
one rivalry stimulus can increase its predominance modestly while greatly
decreasing the predominance of the competing stimulus (e.g., Bossink, Stalmeier,
& De Weert, 1993).
Figure 3. Mean
normalized dominance durations for perceiving face (left) and house (right)
during selective attentional control of binocular rivalry in Experiment 2
( N = 16). Observers were instructed to
attend to the face (green dashed line), attend to the house (red dotted line),
or passively view the stimuli (black solid line). The contrast of the house was
manipulated while the contrast of the face was set to 30%. Error bars represent
±1 SEM. Selective attention led to
weak modulations in dominance duration, as compared to bottom-up manipulations
of stimulus contrast.
The main effect of attentional control reached
significance for perception of the house,
F(2,
30) = 7.20, p
< .005, and also the face,
F(2,
30) = 4.36, p
< .05. However, these attentional
effects were much smaller than those found for the Necker cube. Planned
comparisons indicated that when instructed to attend to the face, observers
could only decrease the dominance duration of the house,
F(1,
15) = 8.60, p
< .02; they could not reliably
increase the dominance duration of the face,
F(1,
15) = 1.89, p
= .190. Similarly, when instructed to
attend to the house, observers could only decrease dominance durations of the
face,
F(1,
15) = 5.45, p
< .05, and failed to increase
dominance durations of the house,
F(1,15)
= 2.24,
p =
.155. There was no significant interaction between attention and stimulus
contrast (all Fs
< 2). These results indicate that
perceptual dominance in binocular rivalry can be strongly biased by bottom-up
factors such as stimulus contrast, but can only be weakly and unreliably biased
by selective attentional control.
Observers appeared to show much greater selective
attentional control of Necker cube reversal ( Experiment 1) than binocular rivalry. Figure 6a shows a comparison of the overall
attentional modulation for Necker cube reversal ( Experiment 1) and binocular rivalry ( Experiment 2), averaged across all fixation positions and stimulus contrasts, respectively. The proportion of attentional modulation was calculated by using the following formula:
For the Necker cube, magnitudes of attentional
modulation ranged from 26-49% (mean modulation = 37%) and were always highly
significant. In contrast, attentional modulation magnitudes for binocular
rivalry ranged from 5-13% (mean modulation = 10%), and often failed to differ
significantly from passive viewing. A between-subjects ANOVA revealed
significantly greater attentional modulation of Necker cube reversal than
binocular rivalry,
F(1,
30) = 14.56, p < .001. The
fact that observers showed very limited attentional control over rivalry between
meaningful, color-differentiated images suggests that binocular rivalry may
involve a more automatic form of visual competition than Necker cube reversal,
and as a consequence is less easily controlled by visual
attention.
Experiment 3: Comparison of selective attentional control and control of alternation rate for Necker cube reversal and binocular rivalry
Experiment 3
investigated whether selective
attentional control of bistable perception differs from
nonselective control of alternation
rate. The previous experiment revealed poor selective attentional control over
rivalry; observers could only enhance or suppress the dominance duration of a
particular image by about 10% on average. In contrast, previous studies have
shown that observers can voluntarily control the alternation rate of binocular
rivalry to a considerable degree, and can as much as double their rate of fast
alternations as compared to slow alternations (e.g., Lack, 1978). Unlike selective attentional control of
rivalry, control of alternation rate might be realized by relying on
nonselective or nonattentional strategies. For example, it has previously been
reported that paralysis of the muscles of the eye leads to greatly diminished
voluntary control over alternation rates for binocular rivalry, but has less of
an effect on Necker cube reversal (George, 1936).
Here,
we directly compared selective attentional control of perception and
non-selective control of alternation rate for both Necker cube reversal and
binocular rivalry in the same observers. We predicted that observers would show
greater control of alternation rate than selective attentional control, and that
this difference should be more salient in the case of rivalry. Because multiple
psychophysical sessions were required, we chose to test experienced
psychophysical observers who were more experienced at viewing rivalry stimuli,
maintaining fixation for sustained periods, and reporting their perception under
conditions of ambiguity.
Six observers participated in this study; all had
several previous sessions of training in other binocular rivalry experiments.
One observer was an author, and the remaining five observers were naïve to
the purpose of the experiment. All observers had normal or corrected-to-normal
visual acuity, and good binocular perception of random-dot
stereograms. Selective attentional control experiment
Selective attentional control of Necker cube reversal
and binocular rivalry was measured using the same methods and stimuli as those
in Experiments 1 and 2. Observers performed three sessions each of
Necker cube reversal and rivalry, in alternation, over a two-week period. Each
session consisted of a mixed-trial design of thirty-six 60-s trials (4 trials
per condition x 9 conditions = 36 trials). In total, each experimental condition
was presented for 12
trials. Control of alternation rate experiment
Control of alternation rate was measured in separate
blocks for Necker cube reversal and rivalry. Alternation rate was calculated
based on the number of switches between the two dominant percepts, irrespective
of whether an intervening blend percept occurred or not. Reported changes from a
dominant percept to the blend percept and then back to the original dominant
percept were not considered as valid switches. On each trial, observers were
instructed to (1) “just passively watch”; (2) “try to speed up
the alternation rate”; or (3) “try to slow down the alternation
rate.” Unlike Experiment 1, only a single,
central fixation position was used in this Necker cube experiment to reduce the
number of sessions required. For the binocular rivalry experiment, the contrast
of the house and face were both set at 15%, 30%, or 60% to bias the alternation
rate in a bottom-up fashion. Observers received each condition in a randomized
mixed-trial design with thirty-six 60-s trials per session. In total, each
experimental condition was presented for 12
trials.
Selective attentional control experiment
The experienced observers in Experiment 3 showed remarkably similar effects of
attentional control as the naïve observers in Experiments 1 and 2. Figure 4 shows
the Necker cube data. Observers showed highly significant effects of selective
attentional control for both the bottom view
( F(2,
5) = 51.15, p
< .0005), and the top view of the
Necker cube
( F(2,
5) = 37.98, p
< .001). Planned comparisons
revealed that observers were able to reliably increase the dominance durations
of the attended percept while decreasing the dominance of the unwanted percept
in all conditions ( p
< .05).
Figure 4. Mean
normalized dominance durations for perceiving the bottom view (left) and top
view (right) during selective attentional control of the Necker cube in Experiment 3
( N = 6). Observers were instructed to
attend to the bottom view (green dashed line), attend to the top view (red
dotted line), or passively view the Necker cube (black solid line). Error bars
represent ±1 SEM.
The factor of fixation position was also significant
for both bottom view
( F(2,
5) = 4.76,
p
< .05) and top view
( F(2,
5) = 7.85, p
< .01), indicating that fixating
above or below the center of the Necker cube increased the likelihood of
perceiving it from above or below, respectively. Although shifts in eye position
could bias perception of the Necker cube in a bottom-up fashion, top-down
selective attention led to stronger bias effects on perception, over and above
the effect of fixation position. There was no significant interaction effect
between selective attention and fixation position for the bottom view
( F(4,
20) = 1.64, p
= .204). However, a significant
interaction was found for the top view
( F(4,
20) = 4.99,
p
< .01), similar to what a
previous study found in bistable apparent motion (Suzuki & Peterson, 2000).
Figure 5 reveals poor
selective attentional control of binocular rivalry. In contrast to the powerful
ability to modulate perception of the Necker cube, observers were unable to
modulate rivalry dominance durations of the house percept
( F(2,
5) = 1.25, p
= .327) or the face percept
( F(2,
5) = 2.30,
p =
.150) in a statistically reliable fashion. All planned comparisons
between attention conditions and passive viewing were also nonsignificant.
Dominance durations, however, remained highly sensitive to bottom-up factors.
The contrast of the house had a highly significantly effect on both face
perception,
F(2,
5) = 19.80, p
< .0005, and house perception,
F(2,
5) = 10.67, p
<
.005. Figure 5. Mean normalized dominance durations for
perceiving face (left) and house (right) during selective attentional control of
rivalry in Experiment 3
( N = 6). Observers were instructed to
attend to the face (green dashed line), attend to the house (red dotted line),
or passively view the stimuli (black solid line). The contrast of the house was
manipulated while the contrast of the face was set to 30%. Error bars represent
±1 SEM.
Figure 6b compares the
proportion of selective attentional modulation for the Necker cube and binocular
rivalry in Experiment 3. Observers showed
significantly greater selective attentional control of the Necker cube than
binocular rivalry
( F(1,
5) = 36.03, p
< .002), with an average proportion
of modulation of 40% versus 13%, respectively. These magnitudes of attentional
modulation for Necker cube and rivalry closely match those found in naïve
observers in Experiments 1 and 2 ( Figure 6a). All
three experiments converge towards the suggestion that the neural mechanisms
underlying Necker cube reversal and binocular rivalry are different. Binocular
rivalry may involve an earlier stage of visual competition that cannot be
readily biased by selective attention as compared to Necker cube
reversal.
Figure 6. Comparison of the proportion of
selective attentional modulation for Necker cube reversal and binocular rivalry
( Experiments 1- 3). Bar graphs indicate the proportion of
modulation in mean dominance duration for each attentional condition relative to
passive viewing. A. Data of naïve observers in Experiments 1 and 2. B. Data of experienced observers in Experiment 3. Asterisks indicate statistically
significant modulations relative to passive viewing
(* p < .05;
** p < .01;
*** p < .001). Error bars represent
±1 SEM. For Necker cube reversal,
selective attention significantly increased the attended percept and decreased
the unattended percept, whereas attentional modulation of binocular rivalry was
weak and unreliable.
Control of alternation rate experiment
Figure 7a shows that
the proportion of nonselective control over alternation rate for Necker cube
reversal and binocular rivalry appeared to be quite comparable. Control of
alternation rate was statistically significant for both Necker cube reversal,
F(2,
5) = 28.06,
p
< .005, and binocular rivalry,
F(2,
5) = 6.45, p
< .05. Observers were able to
reliably speed-up
( t(5)
= 5.80, p
< .005), and slow-down
( t(5)
= 2.07, p
< .05) their alternation rates for
the Necker cube, relative to passive viewing. Figure 7b shows that observers could significantly
increase
( F(1,
5) = 8.76, p
< .05) and decrease
( F(1,
5) = 10.73, p
< .05) alternation rates during
rivalry across all contrast levels. The amount of control over rivalry
alternations increased as a function of stimulus contrast
( F(4,
20) = 4.49,
p
< .01), such that at the highest contrast level, alternation rates in
the speed-up condition were more than twice as fast as the slow-down condition.
Figure 7. A.
Comparison of the proportion of voluntary control over alternation rates for
Necker cube reversal and binocular rivalry in Experiment 3. Bar graphs indicate the proportion of
modulation in alternation rate for each voluntary control condition relative to
passive viewing. Error bars represent ±1
SEM. Observers showed a strong ability
to modulate the alternation rates of both Necker cube reversal and binocular
rivalry. B. Normalized rates of alternation across contrast levels for binocular
rivalry. Observers showed substantial control of rivalry alternation rates, and
could roughly double the rate of fast alternations as compared to slow
alternations. Moreover, the amount of control over rivalry alternations
significantly increased as a function of stimulus contrast.
The magnitude of voluntary control over alternation
rates did not significantly differ for Necker cube reversal and binocular
rivalry
( F(1,
5) = 3.56, p
= .12), and the proportion of
modulation appeared quite comparable for Necker cube reversal and binocular
rivalry, especially at the highest contrast level for rivalry. The amount of
control over rivalry alternation rates found here matches that of previous
rivalry studies (Lack, 1978; Meredith, 1962).
Our results indicate that control of alternation rate is a poor predictor of
selective attentional control, and poor at differentiating between different
forms of bistable perception. It appears that observers can rely on certain
nonselective strategies to control rivalry alternation rates, but are unable to
use these strategies to modulate rivalry perception in a selective manner. In
summary, observers can control the alternation rates of rivalry and Necker cube
reversal to a comparable extent, but have much weaker selective attentional
control over binocular rivalry than Necker cube reversal.
Experiment 4: Attentional modulation of spatially biased rivalry displays
In Experiments 1- 3, observers consistently showed much weaker
selective attentional control of binocular rivalry than Necker cube reversal.
One interpretation is that binocular rivalry involves a more automatic,
stimulus-driven form of visual competition than ambiguous figure reversal, and
consequently, is less easily biased by selective attention. Alternatively, one
might argue that attentional control of rivalry is weak because there is no
opportunity for spatial attention to selectively bias overlapping rivalry
stimuli. Although Experiments 1- 3 maximized the opportunities for feature- and
object-based attentional selection during rivalry, the lack of opportunity for
spatial selection may account for the weak selective attentional control found
for rivalry.
To evaluate this possibility, we devised a novel
rivalry display that was spatially biased, in which one monocular grating
increased linearly in contrast from left to right while the opposing grating
decreased in contrast (see Figure 1c). Thus,
the relative stimulus strength of the two monocular gratings varied locally from
left to right. Our preliminary observations indicated that changes in dominance
were more likely to originate from the high-contrast portion of the emerging
grating and spread to the low-contrast region in a traveling wave (cf., Wilson,
Blake, & Lee, 2001), indicating that the
two rivaling stimuli had a local competitive advantage on opposite sides of the
display. We predicted that shifts in fixation position from left to right should
have a strong impact on the relative dominance of the two gratings, given that
information near the fovea would be more strongly weighted in determining the
outcome of rivalry.
This rivalry display allowed us to compare the strength
of bottom-up spatial-bias effects induced by changes in fixation position and
top-down spatial-bias effects induced by shifts in spatial attention. If spatial
attention can strongly bias binocular rivalry, then observers should be able to
selectively control their perception by shifting their attention from one side
of the display to the other, analogous to physical shifts in eye position.
However, if observers show weak or negligible effects of spatial attention on
binocular rivalry, then this would suggest that differences between spatial
attention and featural attention are unlikely to account for the consistently
weaker attentional modulation found across rivalry experiments. Instead, rivalry
would appear to involve a more automatic, stimulus-driven form of visual
competition than ambiguous figure reversal.
Six observers participated in this study; all had
several previous sessions of training in other binocular rivalry experiments.
One observer was an author, and the other five observers were naïve to the
purpose of the experiment. All observers had normal or corrected-to-normal
visual acuity, and good binocular perception of random-dot
stereograms.
The experimental set-up and procedure were similar to
Experiment 2, with modifications of the stimuli and the task instructions. Stimuli consisted of a green left-tilted grating and a red right-tilted grating presented to different eyes (size = 6° ×
2°) (see Figure 1c). The gratings were set
to the same mean luminance and presented on a mean yellow background (3.3
cd/m 2). The contrast of the left-tilted grating decreased linearly
from left to right while the right-tilted grating increased from left to right
(contrast range 10-90%). To test if this spatial asymmetry could bias binocular
rivalry, the fixation crosshair (size 0.47°) was presented either in the
center, 2.5° to the left or 2.5° to the right of each image. Black
ovals (7.6° × 3.6°) surrounded each monocular image to aid
binocular fusion. Observers were instructed to maintain fixation and to (1)
“just look at the stimuli passively”; (2) “try to maintain the
percept of the left-tilted grating for as long as possible”; and (3)
“try to maintain the percept of the right-tilted grating for as long as
possible.” For the attention conditions, observers were told to attend
covertly to the high-contrast portion of the relevant grating, as this might
enhance its predominance (e.g., attend to the left side to enhance the
left-tilted grating).
There were three fixation positions and three
attentional conditions for a total of nine condition types. Observers received
each condition in a randomized mixed-trial design with thirty-six 60-s trials
per session, for a total of three sessions. Observers continuously monitored
their perceptual state and reported perceptual switches by pressing one of three
keys to indicate when they saw the left-tilted grating, the right-tilted
grating, or a blend/piecemeal rivalry.
Dominance durations were normalized using the same
method as described in Experiment 1. ANOVAs were
performed to analyze the mean normalized dominance durations for each
condition.
Figure 8 shows the
mean normalized dominance durations for perception of the left-tilted grating
and right-tilted grating. Changes in fixation position led to significant
modulations in dominance duration for both the right-tilted grating,
F(2,
10) = 10.67, p
< .005, and the left-tilted grating,
F(2,
10) = 7.53, p
< .05. 1 Overall, the results demonstrate that the
display induced a strong asymmetric spatial bias in rivalry predominance, and
that when viewing such displays, binocular rivalry can be strongly biased by
bottom-up spatial factors such as shifts in fixation position.
Figure 8. Mean
normalized dominance durations for perceiving the left-tilted grating and
right-tilted grating during selective attentional control of a spatially biased
rivalry display in Experiment 4
( N = 6). Rivalry stimuli varied in
contrast from left to right, to induce a physical spatial bias (see Figure 1c). Observers were instructed either to
passively view the display (black solid line), to attend to the left side
corresponding to the high-contrast portion of the left-tilted grating (green
dashed line), or to attend to the right side corresponding to the high-contrast
portion of the right-tilted grating (red dotted line). Error bars represent
±1 SEM. Shifts in fixation
position strongly biased percept durations, whereas shifts in spatial attention
led to poor selective control of rivalry.
In comparison, top-down shifts in spatial attention
appeared to have a much weaker effect on rivalry. The main effect of attentional
control was marginally significant for perception of the right-tilted grating,
F(2,
10) = 3.51, p
= .07, and significant for perception
of the left-tilted grating,
F(2,
10) = 9.81, p
< .005. Planned comparisons
indicated that when instructed to attend to the left-tilted grating, observers
were unable to reliably decrease the dominance duration of the right-tilted
grating,
F(1,
5) = .402, p
= .540, or increase the dominance
duration of the left-tilted grating,
F(1,
5) = .716, p
= .417. When instructed to attend to
the right-tilted grating, observers could only decrease the dominance duration
of the left-tilted grating,
F(1,
5) = 11.18, p
< .01, and failed to
significantly increase the dominance duration of the right-tilted grating,
F(1,5)
= 3.65, p
= .088. There was no significant
interaction between attention and fixation position
(F(4,
20) < 1).
Figure 9 shows a
comparison of the bottom-up effect of fixation position and the top-down effect
of spatial attention in biasing binocular rivalry. Proportion modulation was
measured based on mean dominance durations relative to central fixation and
passive viewing, respectively. Shifts in eye position from one side of the
display to the other led to overall modulations of 32%, whereas shifts in
spatial attention led to much weaker modulations of only 10%, a difference of
more than three-fold. These results indicate that perceptual dominance in
binocular rivalry can be strongly biased by bottom-up spatial factors such as
local stimulus contrast, but only weakly biased by spatial attention. Although
our display tried to maximize opportunities for spatial attentional selection,
observers showed no greater attentional modulation of rivalry in this experiment
than in Experiments 2 and 3, which required feature-based attention to bias
overlapping face/house stimuli.
Figure 9.
Proportion of modulation for the bottom-up effect of fixation position (left)
and the top-down effect of spatial attention (right) in biasing binocular
rivalry in Experiment 4. Error bars represent
±1 SEM. Note that shifts of fixation position led to overall modulations of
about 30%, whereas shifts of spatial attention led to much weaker modulations of
only about 10%.
A final point worth addressing is whether attentional
control of rivalry is affected by the frequency of blending or piecemeal
rivalry. Because observers were instructed to adopt a strict criterion for
exclusive dominance, we expected that the frequency of piecemeal rivalry should
have little effect on our estimates of attentional control over exclusive
dominance durations. In Experiment 4, piecemeal
rivalry was reported 32% of the time, and observers showed weak attentional
modulation of rivalry relative to passive viewing (average attentional
modulation= 5%). In a separate experiment using much smaller rivalry gratings of
only 1-deg diameter, three trained observers reported piecemeal rivalry only
6.5% of the time and showed a similarly weak level of attentional control
(average attentional modulation= 4.5%). In summary, we found consistently weak
effects of selective attention for binocular rivalry, irrespective of frequency
of piecemeal rivalry, stimulus type (grating or meaningful object), or
attentional selection strategy (featural or spatial
attention).
The present study was the first to compare selective
attentional control over different forms of bistable perception. Binocular
rivalry was strongly influenced by bottom-up factors such as changes in contrast
or fixation position, but only weakly modulated by top-down selective attention.
In contrast, perception of the Necker cube was much more strongly modulated by
selective attention than by shifts in fixation position. For Necker cube
reversal, both naïve and experienced observers could selectively enhance
the dominance duration of the attended percept and simultaneously decrease the
dominance of the unattended percept to a considerable extent (mean modulation
37-40%). In comparison, selective attentional control of binocular rivalry was
much weaker (average modulation 5–13%) and often failed to reach
significance in the sample sizes tested here. Even the use of rivaling face and
house images that differed in color, form, and object category did not seem to
facilitate attentional selection ( Experiments 2
and 3). Likewise, the use of spatially
asymmetric rivalry stimuli, which led to strong biases in rivalry predominance
during physical shifts in eye position, still led to weak attentional control
( Experiment 4). Thus, rivalry displays that
maximized the opportunities for featural and object-based attentional selection,
or featural and spatial attentional selection, still led to a poor ability to
select the desired percept.
The fact that selective attentional control was always
much weaker for rivalry than Necker cube reversal cannot be readily explained by
top-down selection theory. It seems implausible that a single top-down selection
mechanism might mediate all forms of bistable perception yet still lead to such
poor attentional control of rivalry. Our results are also inconsistent with the
predictions of pattern competition theory. If rivalry and ambiguous figure
reversal are mediated by common/similar mechanisms of pattern-based competition,
then one would predict that attention should be about equally effective at
biasing these different forms of bistable perception. Instead, our results most
closely agree with the predictions of interocular competition theory, which
forwards that rivalry involves competition at an earlier stage of processing
than other forms of bistable perception. It seems reasonable to assume that
earlier stages of visual competition should be more strongly influenced by
bottom-up factors and more weakly influenced by top-down attention, as was found
here for binocular rivalry. Our results support the notion that rivalry involves
a more automatic, stimulus-driven form of visual competition than Necker cube
reversal, and as a consequence, is less easily biased by selective
attention.
Unlike selective attentional control, non-selective
control of alternation rates proved to be about equally strong for both types of
bistable perception ( Experiment 3). Our
observers could more than double their rate of fast alternations as compared to
slow alternations when viewing high-contrast rivalry stimuli, matching the level
of control found in previous studies (Lack, 1971; Lack, 1978; Meredith, 1962). Nonetheless, these same observers still
showed weak selective attentional control over rivalry. Therefore, voluntary
control of alternation rate appears to be a poor indicator of selective
attentional control.
What strategies are observers relying on to control
rivalry alternation rates in a non-selective fashion? Although this question was
not the main focus of the present study, we suspect that observers can rely on
strategies other than selective attention to modulate the overall alternation
rate. Consistent with this notion, an early study found that paralysis of the
intrinsic muscles of the eye led to decreased voluntary control of alternation
rates for binocular rivalry between both real images and afterimages (George, 1936). Unlike rivalry, control of ambiguous
figure reversal was hardly affected by such paralysis. This suggests that
voluntary control of rivalry alternation rates may depend on eye movements or
microsaccades. Future investigations of these issues may help reveal other
important differences between non-selective control of alternation rate and
selective attentional control in binocular rivalry.
Our results suggest that future studies should instead
rely on measures of selective attentional control to assess top-down effects in
bistable perception (see also Suzuki & Peterson, 2000). Along these lines, more recent studies
have found evidence of selective attentional control over ambiguous figure
reversal (Gomez et al., 1995; Horlitz &
O'Leary, 1993; Liebert & Burk, 1985; Peterson, 1986; Toppino, 2003), consistent with the present findings.
There have been some reports that voluntary attention can modulate perception
during dichoptic masking or flash suppression, but reports are conflicting as to
whether attention to an item facilitates or inhibits perception under such
conditions (Ooi & He, 1999; Sasaki &
Gyoba, 2002). In these dichoptic masking
studies, the observer’s attention was directed to an initially visible
target, which may have enhanced the effects of attention. The weaker effect of
attention found here during binocular rivalry may be due to the fact that
rivalry involves the suppression of basic visual features, and that it may be
more difficult for attention to modulate suppressed features than to modulate
suppressed interpretations of figural organization for ambiguous figures.
Alternatively, suppression during steady rivalry viewing may differ from
suppression induced by transient dichoptic masking. Future studies should
investigate if selective attention leads to similar or different effects for
binocular rivalry and dichoptic masking.
According to attentional theories of bistable
perception, both binocular rivalry and ambiguous figure reversal are believed to
result from frontal-parietal bias signals that activate specific representations
in visual cortex (e.g., Leopold & Logothetis, 1999; Lumer et al., 1998). However, recent neuroimaging data suggest
that binocular rivalry involves early interocular competition in V1 (Tong &
Engel, 2001; but see also Leopold &
Logothetis, 1996). Moreover, rivalry
suppression has been found to lead to concomitant suppression of V1 activity,
irrespective of whether the observer is attending to the peripheral rivalry
stimulus or to a difficult letter detection task at central fixation (Lee,
Blake, & Heeger, 2003). In contrast,
ambiguous figure reversal is associated with the activation of high-level
ventral extrastriate areas (Kleinschmidt, Buchel, Zeki, & Frackowiak, 1998). Consistent with these neuroimaging
studies, the present psychophysical data suggest that binocular rivalry and
ambiguous figure reversal likely reflect separate mechanisms. Binocular rivalry
appears to occur at an earlier stage of visual processing that is more
automatic, stimulus-driven, and less accessible to selective attention.
This research was supported by National Institutes of
Health Grants R01-EY14202 and P50-MH62196, and a McDonnell-Pew Grant in
Cognitive Neuroscience. Commercial
relationships: None.
Corresponding author: Ming Meng.
Email: mmeng@princeton.edu.
Address: Department of Psychology, Princeton
University Princeton, NJ,
USA.
Compared to central fixation, shifts to the left (or right) fixation position
led to a significant increase in dominance durations for the left (or right)
tilted grating ( p
< .01), but did not lead to a
significant decrease in dominance duration for the opposing grating
( F
< 1). This asymmetry, though not of central interest here, may reflect
the fact that we used a linear contrast ramp (10-90%) rather than a log contrast
ramp, such that the decrease in contrast at the stimulus ends, relative to the
stimulus center (10% vs. 45%), was proportionally greater than the increase in
contrast (90% vs. 45%) at the stimulus ends. A dramatic decrease in the contrast
of one grating would be expected to lead to a large increase in dominance
duration for the opposing grating (cf., Levelt, 1968).
Blake, R. (1989). A neural theory of binocular
rivalry. Psychological
Review, 96, 145-167. [ PubMed]
Blake, R. (2001). A primer on binocular rivalry,
including current controversies.
Brain & Mind,
2, 5-38.
Blake, R., & Logothetis,
N. K. (2002). Visual competition. Nature
Reviews Neuroscience, 3, 13-21. [ PubMed]
Blake, R., Westendorf, D. H.,
& Overton, R. (1980). What is suppressed during binocular rivalry?
Perception, 9, 223-231. [ PubMed]
Bossink, C. J., Stalmeier,
P. F., & De Weert, C. M. (1993). A test of Levelt's second proposition for
binocular rivalry. Vision Research, 33,
1413-1419. [ PubMed]
Desimone, R., & Duncan,
J. (1995). Neural mechanisms of selective visual attention.
Annual Review of Neuroscience, 18,
193-222. [ PubMed]
George, R. W. (1936). The
significance of the fluctuation experienced in observing ambiguous figures and
in binocular rivalry. Journal of General
Psychology, 15, 39-61.
Girgus, J. J., Rock, I.,
& Egatz, R. (1977). The effect of knowledge of reversibility on the
reversibility of ambiguous figures. Perception
& Psychophysics, 22, 550-556.
Gomez, C., Argandona, E. D.,
Solier, R. G., Angulo, J. C., & Vazquez, M. (1995). Timing and competition
in networks representing ambiguous figures.
Brain Cognition, 29, 103-114. [ PubMed]
Helmholtz, H. von (1924).
Treatise on physiological optics. Vol.
III. (J. P. Southall, Ed). New York: Dover. (Original work published
1866)
Horlitz, K. L., & O'Leary,
A. (1993). Satiation or availability? Effects of attention, memory, and imagery
on the perception of ambiguous figures.
Perception & Psychophysics, 53,
668-681.
Kanwisher, N., &
Wojciulik, E. (2000). Visual attention: Insights from brain imaging.
Nature Reviews Neuroscience, 1, 91-100.
[ PubMed]
Kawabata, N., Yamagami, K.,
& Noaki, M. (1978). Visual fixation points and depth perception.
Vision Research, 18, 853-854. [ PubMed]
Kleinschmidt, A., Buchel,
C., Zeki, S., & Frackowiak, R. S. (1998). Human brain activity during
spontaneously reversing perception of ambiguous figures.
Proceedings of the Royal Society of London B,
265, 2427-2433. [ PubMed]
Kovacs, I., Papathomas, T. V.,
Yang, M., & Feher, A. (1996). When the brain changes its mind: interocular
grouping during binocular rivalry. Proceedings
of the National Academy of Sciences of the U.S.A., 93, 15508-15511. [ PubMed]
[ Article]
Lack, L. C. (1971). The role of
accommodation in the control of binocular rivalry.
Perception & Psychophysics, 10,
38-42.
Lack, L. C. (1978). Selective
attention and the control of binocular rivalry. The Hague: Mouton.
Lee, S., Blake, R., & Heeger, D. J. (2003). Waves of activity in V1 correlate with waves of dominance during binocular rivalry [Abstract]. Society for Neuroscience Abstracts, 2003.
Leopold, D. A., &
Logothetis, N. K. (1996). Activity changes in early visual cortex reflect
monkeys' percepts during binocular rivalry.
Nature, 379, 549-553. [ PubMed]
Leopold, D. A., &
Logothetis, N. K. (1999). Multistable phenomena: Changing views in perception.
Trends in Cognitive Sciences, 3,
254-264. [ PubMed]
Levelt, W. J. M. (1968).
On binocular rivalry (Minor Series 2.
Psychological studies). The Hague: Mouton.
Liebert, R. M., & Burk,
B. (1985). Voluntary control of reversible figures.
Perceptual Motor Skills, 61(Pt 2),
1307-1310. [ PubMed]
Logothetis, N. K., Leopold, D.
A., & Sheinberg, D. L. (1996). What is rivalling during binocular rivalry?
Nature, 380, 621-624. [ PubMed]
Long, G. M., & Toppino, T.
C. (1981). Multiple representations of the same reversible figure: implications
for cognitive decisional interpretations.
Perception, 10, 231-234. [ PubMed]
Long, G. M., Toppino, T. C., &
Mondin, G. W. (1992). Prime time: Fatigue and set effects in the perception of
reversible figures. Perception &
Psychophysics, 52, 609-616. [ PubMed]
Lumer, E. D., Friston, K. J.,
& Rees, G. (1998). Neural correlates of perceptual rivalry in the human
brain. Science, 280, 1930-1934. [ PubMed]
Meredith, C. G. W. (1962).
Effect of instructional conditions on rate of binocular rivalry.
Perceptual Motor Skills, 15,
655-664.
Necker, L. A. (1832).
Observations on some remarkable phenomena seen in Switzerland, and an optical
phenomenon which occurs on viewing of a crystal or geometrical solid.
Philosophical Magazine, 1,
329-337.
Nguyen, V. A., Freeman, A. W.,
& Wenderoth, P. (2001). The depth and selectivity of suppression in
binocular rivalry. Perception &
Psychophysics, 63, 348-360. [ PubMed]
Ooi, T. L., & He, Z. J. (1999).
Binocular rivalry and visual awareness: The role of attention.
Perception, 28, 551-574.
Peterson, M. A. (1986).
Illusory concomitant motion in ambiguous stereograms: Evidence for nonstimulus
contributions to perceptual organization.
Journal of Experimental Psychology: Human
Perception & Performance, 12, 50-60. [ PubMed]
Polonsky, A., Blake, R., Braun,
J., & Heeger, D. J. (2000). Neuronal activity in human primary visual cortex
correlates with perception during binocular rivalry.
Nature Neuroscience, 3, 1153-1159. [ PubMed]
Rock, I., & Mitchener, K.
(1992). Further evidence of failure of reversal of ambiguous figures by
uninformed subjects. Perception, 21,
39-45. [ PubMed]
Sasaki, H., & Gyoba, J.
(2002). Selective attention to stimulus features modulates interocular
suppression. Perception, 31, 409-419.
[ PubMed]
Sheinberg, D. L., &
Logothetis, N. K. (1997). The role of temporal cortical areas in perceptual
organization. Proceedings of the National
Academy of Sciences of the U.S.A., 94, 3408-3413. [ PubMed]
[ Article]
Struber, D., & Stadler, M.
(1999). Differences in top-down influences on the reversal rate of different
categories of reversible figures. Perception,
28, 1185-1196. [ PubMed]
Suzuki, S., & Peterson, M. A.
(2000). Multiplicative effects of intention on the perception of bistable
apparent motion. Psychological Science,
11, 202-209. [ PubMed]
Tong, F. (2001). Competing theories of binocular
rivalry: A possible resolution. Brain &
Mind, 2, 55-83.
Tong, F. (2003). Primary visual
cortex and visual awareness. Nature Reviews
Neuroscience, 4, 219-229. [ PubMed]
Tong, F., & Engel, S. A.
(2001). Interocular rivalry revealed in the human cortical blind-spot
representation. Nature, 411, 195-199. [ PubMed]
Tong, F., Nakayama, K.,
Vaughan, J. T., & Kanwisher, N. (1998). Binocular rivalry and visual
awareness in human extrastriate cortex.
Neuron, 21, 753-759. [ PubMed]
Tong, F., Wong, A., Meng, M., & McKeeff, T. J. (2002). Brain areas involved in attentional control and perception of ambiguous figures [ Abstract]. Journal of Vision, 2(7), 677a, http://journalofvision.org/2/7/677/, doi:10.1167/2.7.677.
Toppino, T. (2003). Reversible-figure perception: Mechanisms of intentional control.
Perception & Psychophysics, 65, 1285-1295. [ PubMed]
Wilson, H., Blake, R., & Lee, S. H. (2001). Dynamics of traveling waves in visual perception.
Nature, 412, 907-910. [ PubMed]
|
|