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1  in their horizontal coordinates (horizontal binocular disparity).
2 n images formed on the two retinae (known as binocular disparity).
3 ever, generally share preferences for depth (binocular disparity).
4 t to different positions on the two retinas (binocular disparity).
5 cted from input differences to the two eyes (binocular disparities).
6 an primary visual cortex are finely tuned to binocular disparity.
7 manner expected for a mechanism that encodes binocular disparity.
8 urface properties such as texture, motion or binocular disparity.
9 reatest proportion of vertices selective for binocular disparity.
10 binocular cues to depth and ending with only binocular disparity.
11 ts from both eyes but lacked selectivity for binocular disparity.
12 ect borders, illusory contours, and relative binocular disparity.
13 ns are selectively and strongly modulated by binocular disparity.
14  strongly selective for motion direction and binocular disparity.
15 ar to the known clustering of MT neurons for binocular disparity.
16 and how these neurons also signal depth from binocular disparity.
17 c responses than random dot patterns without binocular disparity.
18 ral (RL) areas were found to be sensitive to binocular disparity.
19 it is based on perceiving depth by detecting binocular disparity.
20 an predict the selectivity or sensitivity to binocular disparity.
21 ision relies on cortical signals that encode binocular disparity.
22  diminishing performance for small and large binocular disparities.
23 lues that are not sufficient to encode large binocular disparities.
24 ecent studies show how single neurons detect binocular disparities.
25 tion of frontoparallel stimulus features and binocular disparities.
26 ight different directions of motion and nine binocular disparities.
27 n the visual cortex of mice are sensitive to binocular disparity,(1-3) yet it is unclear whether that
28  in macaque: (1) color versus luminance, (2) binocular disparity, (3) luminance contrast sensitivity,
29 ant visual processing affects how we process binocular disparity, a key component of human depth perc
30                                 Gradients of binocular disparity across the visual field provide a po
31 , RF phase disparities cover a wide range of binocular disparities and exhibit dependencies on orient
32 ional displacement, or 'pseudodisparity', to binocular disparities and orientations of occluding and
33        A test stimulus defined by horizontal binocular disparity and a distracter stimulus defined by
34 gnals from their constituents, instantaneous binocular disparity and monocular retinal motion.
35 of depth is based on a variety of cues, with binocular disparity and motion parallax generally provid
36                                              Binocular disparity and optical looming provide two sour
37  based on motion parallax, in the absence of binocular disparity and pictorial depth cues.
38 -12 years with displays depicting depth from binocular disparity and relative motion and made measure
39 ponses are more discriminable when two cues (binocular disparity and relative motion) concurrently si
40 o investigate the effects of two depth cues, binocular disparity and relative size.
41 thus mice can use cues that do not depend on binocular disparity and stereo vision.
42 -reduced P2 complex could be an indicator of binocular disparity and stereopsis.
43 ost, however, were tuned for orientation and binocular disparity and were strongly suppressed by larg
44 tation was consistent across depth position (binocular disparity) and position within the 2D classica
45 ted largely by relative rather than absolute binocular disparity, and depth is perceived primarily fo
46 neurons along the visual pathway that encode binocular disparities are found in the visual cortex.
47 isual areas V1, MT and MST that are tuned to binocular disparity are also tuned to orientation, motio
48                        Neurons selective for binocular disparity are found in a number of visual cort
49  Perceptual judgments of relative depth from binocular disparity are systematically distorted in huma
50 d, and the differences between their images (binocular disparity) are used to see depth.
51                                        Using binocular disparity as a model system, we report a syste
52                    The two half-images had a binocular disparity at the circular grating patch area,
53   The joint coding of relative luminance and binocular disparity at the neuronal population level may
54  visual depth rely crucially on the relative binocular disparity between two visual features.
55 nly on relative judgments of depth (relative binocular disparity) between objects, rather than judgme
56 When the local maps for ocular dominance and binocular disparity both had measurable gradients at a g
57 ed to the registration and interpretation of binocular disparity but that it relies on half-occluded
58 rily convey modality-specific information on binocular disparity, but that they also contribute to th
59  popped out amid stationary distractors with binocular disparity, but z-motion did not pop out.
60 ween the images seen by the two eyes, called binocular disparities, can be used to recover the volume
61 multiple visual cues, two of which, changing binocular disparity (CD) and inter-ocular velocity diffe
62        We find that, in humans, color versus binocular disparity columns extend one full area further
63 ese results also hold in models that include binocular disparity computations, providing a platform f
64                                     However, binocular disparity could also be coded in headcentric i
65               Principal amongst them are the binocular disparities created by the laterally separated
66  have correspondingly shown that texture and binocular disparity cues for object orientation are comb
67 re greatly reduced, but not eliminated, when binocular disparity cues were provided.
68 animals' psychophysical performance during a binocular disparity discrimination task.
69                    We investigated this in a binocular-disparity discrimination task.
70 e esotropia have striking maldevelopments of binocular (disparity-driven) convergence and use accommo
71                                        Using binocular disparity estimation as a concrete test case,
72                        Neurons selective for binocular disparity form the neural substrate for stereo
73 h requires the integration process to obtain binocular disparity from the two eyes, one eye's image c
74 wever, a precise functional architecture for binocular disparity has never been demonstrated in any s
75                        For almost 200 years, binocular disparity has remained synonymous with retinal
76  of monkeys are known to respond to specific binocular disparities; however, little is known about th
77 ges is primarily specified by the pattern of binocular disparities in the two eyes' views.
78  compare the ability of MT neurons to signal binocular disparity in moving versus stationary random-d
79 neuronal responses to temporal modulation of binocular disparity in striate cortex of awake monkeys.
80 tion in electric fish and the computation of binocular disparity in the avian and mammalian visual sy
81                         Inferring depth from binocular disparities is a difficult problem for the vis
82 hich V1 neurons become selective for certain binocular disparities is informative about how neural ci
83 essing, it is unclear how tuning to specific binocular disparities is organized across the human visu
84                                              Binocular disparity is a powerful depth cue for object p
85                        Estimating depth from binocular disparity is extremely precise, and the cue do
86                  These results indicate that binocular disparity is mainly encoded through RF phase d
87                                 In primates, binocular disparity is processed in multiple areas of th
88                            Investigating how binocular disparity is processed in the mouse visual sys
89 s converge onto a single neuron, encoding of binocular disparity is thought to begin in this region.
90 uning of V1 cells for relative luminance and binocular disparity is well matched to a predicted distr
91 olution (the finest detectable modulation of binocular disparity) is much poorer than luminance resol
92 se local arrangement of ocular dominance and binocular disparity maps provide new clues regarding how
93 lex orientation, motion direction, speed and binocular disparity may help to solve the binocular matc
94 precise depth information, such as that from binocular disparity, may improve estimates of the retina
95 entation encouraged the inquiry into whether binocular disparity might not similarly be represented a
96  cortical areas have been found to represent binocular disparities, new representations of disparity
97  vergence are ultimately limited by internal binocular disparity noise.
98                                  For a given binocular disparity, observers perceived more depth when
99                                              Binocular disparities of retinal image locations are cor
100 he relationship between ocular dominance and binocular disparity of individual cells used single-unit
101 a disproportionate degradation of tuning for binocular disparity of MT neurons, relative to direction
102 rval between saccades, MT neurons signal the binocular disparity of stationary stimuli with high fide
103 t travel to opposite hemispheres, making the binocular disparity of those objects difficult to comput
104 eurons in visual cortex represent depth from binocular disparity or motion parallax, but little is kn
105      Stereoscopic depth perception relies on binocular disparities, or small geometric differences be
106 plicate area MT in depth perception based on binocular disparities, our results suggest that area MT
107 D) can be cued by high-resolution changes in binocular disparity over time (CD), and low-resolution i
108    The human ability to detect modulation of binocular disparity over time is poor compared with dete
109                The eyes estimate shape using binocular disparity, perspective projection, etc.
110 on exists between the relative luminance and binocular disparity preferences of neurons in macaque pr
111                                 In contrast, binocular disparity preferences of spikelets and the pri
112                              In the realm of binocular disparity processing, an equivalent role for t
113  well matched to a predicted distribution of binocular disparities produced by natural scenes.
114  When an observer is looking straight ahead, binocular disparities provide information about distance
115 ve projections of the two eyes' half images (binocular disparity) provide a cue for the sensation of
116 ifferences in the two retinal images, called binocular disparities, provide us with a stereoscopic se
117 muli signaling near or far depths defined by binocular disparity, relative motion, and their combinat
118                                   We explore binocular disparity representation, the generation of bi
119 by exploiting their sensitivity to color and binocular disparity, respectively.
120 ectively to stimulus variations in color and binocular disparity, respectively.
121                                          The binocular disparity response functions for sensory and m
122                         We characterized the binocular disparity selectivity and heading tuning of MS
123 gle cells, ocular dominance was unrelated to binocular disparity selectivity or sensitivity.
124  primates, MD also disrupts the emergence of binocular disparity selectivity, a cue resulting from in
125  a precise functional micro-architecture for binocular disparity selectivity.
126                                 However, the binocular disparity sensitivity of V2 neurons was signif
127 ven under binocular viewing conditions, when binocular disparity signals conflict with depth informat
128         First, we consider the processing of binocular disparity signals, examining performance on si
129 al search task, targets defined by motion or binocular disparity stand out effortlessly from stationa
130 uned to combinations of spatial and temporal binocular disparities, suggesting a possible neural subs
131  can be judged by combining information from binocular disparity, texture and perspective.
132                                              Binocular disparity, the difference between the two eyes
133 ought to begin with the analysis of absolute binocular disparity, the difference in position of corre
134                                              Binocular disparity, the differential angular separation
135  Neurons in primary visual cortex respond to binocular disparity, the raw material of stereoscopic de
136                                    To encode binocular disparity, the visual system determines the im
137            Focusing on the representation of binocular disparities-the slight differences in the reti
138 ere are two possible mechanisms for encoding binocular disparity through simple cells in the striate
139 e fields (pRFs) in response to modulation of binocular disparity to characterize the neural tuning to
140                   The visual system utilizes binocular disparity to discriminate the relative depth o
141 hey use visual cues like motion parallax and binocular disparity to judge distances to objects, and s
142 ferent information, and the brain uses this 'binocular disparity' to interpret stereoscopic depth.
143 ferences between the images in our two eyes, binocular disparities, to generate depth perception?
144 ion causes a disproportionate degradation of binocular disparity tuning relative to direction tuning
145  still large enough to generate all types of binocular disparity tuning.
146 ual neurons, ocular dominance cannot predict binocular disparity tuning.
147    Thus active dendrites could contribute to binocular-disparity tuning in complex cells.
148 e these to measurements of the statistics of binocular disparity typically encountered during natural
149          Neurons that respond selectively to binocular disparity were first described three decades a
150 a long distance is associated with a smaller binocular disparity, whereas an equal depth interval at
151  be involved in the exquisite computation of binocular disparity, which would endow brain circuits wi
152 nformation encoded about naturally occurring binocular disparities, while MT responses shift towards
153 ng for 4 cues (shading, motion, texture, and binocular disparity) with corresponding 2D and elementar
154 static random dot (RD) presentations with no binocular disparity (ZD) or with horizontal disparity (H

 
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