3D shape perception from combined depth cues in human visual cortex

Advances in Neural Information Processing Systems 14

(2002) · The MIT Press eBooks · doi:10.7551/mitpress/1120.001.0001 · Cited by 9,187

Humans integrate visual and haptic information in a statistically optimal fashion

Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844

A direct demonstration of functional specialization in human visual cortex

Zeki, S., Watson, J. D. G., Lueck, C. J., Friston, K. J., Christopher Kennard, C., & Frackowiak, R. S. J. (1991) · Journal of Neuroscience · doi:10.1523/jneurosci.11-03-00641.1991 · Cited by 1,717

The lateral occipital complex and its role in object recognition

Kalanit Grill-spector, A., Kourtzi, Z., & Kanwisher, N. (2001) · Vision Research · doi:10.1016/s0042-6989(01)00073-6 · Cited by 1,492

Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging

Tootell, R. B. H., Reppas, J. B., Kwong, K. K., Malach, R., Born, R. T., Brady, T., Rosen, B. R., & Belliveau, J. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-04-03215.1995 · Cited by 1,434

fMR-adaptation: a tool for studying the functional properties of human cortical neurons

Kalanit Grill-spector, A., & Malach, R. (2001) · Acta Psychologica · doi:10.1016/s0001-6918(01)00019-1 · Cited by 1,089

Measurement and modeling of depth cue combination: in defense of weak fusion

Landy, M. S., Maloney, L. T., Johnston, E. B., & Young, M. (1995) · Vision Research · doi:10.1016/0042-6989(94)00176-m · Cited by 996

Representation of Perceived Object Shape by the Human Lateral Occipital Complex

Kourtzi, Z., & Kanwisher, N. (2001) · Science · doi:10.1126/science.1061133 · Cited by 915

Data Fusion for Sensory Information Processing Systems

Clark, J. J., & Yuille, A. (1990) · Springer eBooks · doi:10.1007/978-1-4757-2076-1 · Cited by 519

Activity in primary visual cortex predicts performance in a visual detection task

Ress, D. B., Backus, B. T., & Heeger, D. J. (2000) · Nature Neuroscience · doi:10.1038/78856 · Cited by 516

3-D Depth Reconstruction from a Single Still Image

Saxena, A., Chung, S. H., & Ng, A. Y. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-007-0071-y · Cited by 600

Is That Near My Hand? Multisensory Representation of Peripersonal Space in Human Intraparietal Sulcus

Makin, T. R., Holmes, N. P., & Zohary, E. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3653-06.2007 · Cited by 381

The status of augmented reality in laparoscopic surgery as of 2016

Bernhardt, S., Nicolau, S., Soler, L., & Doignon, C. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.01.007 · Cited by 315

Walking through Architectural Spaces: The Impact of Interior Forms on Human Brain Dynamics

Banaei, M., Hatami, J., Yazdanfar, A., & Gramann, K. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00477 · Cited by 248

Contributions of low- and high-level properties to neural processing of visual scenes in the human brain

Groen, I. I. A., Silson, E. H., & Baker, C. I. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0102 · Cited by 238

Bayesian models: the structure of the world, uncertainty, behavior, and the brain

Vilares, I., & Kording, K. P. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.05965.x · Cited by 237

The Processing of Three-Dimensional Shape from Disparity in the Human Brain

Georgieva, S. S., Peeters, R. R., Kolster, H., Todd, J. T., & Orban, G. A. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4753-08.2009 · Cited by 209

Visual symptoms in Parkinson's disease and Parkinson's disease dementia

Archibald, N. K., Clarke, M. P., Mosimann, U. P., & Burn, D. J. (2011) · Movement Disorders · doi:10.1002/mds.23891 · Cited by 220

A Major Human White Matter Pathway Between Dorsal and Ventral Visual Cortex

Takemura, H., Rokem, A., Winawer, J. A., Yeatman, J. D., Wandell, B. A., & Pestilli, F. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv064 · Cited by 184

Fusion of visual cues is not mandatory in children

Nardini, M., Bedford, R., & Mareschal, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001699107 · Cited by 161

The Extraction of 3D Shape in the Visual System of Human and Nonhuman Primates

Orban, G. A. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113819 · Cited by 136

The Human Brain in Depth: How We See in 3D

Welchman, A. E. (2016) · Annual Review of Vision Science · doi:10.1146/annurev-vision-111815-114605 · Cited by 126

Parietal regions processing visual 3D shape extracted from disparity

Durand, J., Peeters, R. R., Norman, J. F., Todd, J. T., & Orban, G. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.03.023 · Cited by 125

The integration of motion and disparity cues to depth in dorsal visual cortex

Ban, H., Preston, T. J., Meeson, A., & Welchman, A. E. (2012) · Nature Neuroscience · doi:10.1038/nn.3046 · Cited by 120

Recovering stereo vision by squashing virtual bugs in a virtual reality environment

Vedamurthy, I., Knill, D. C., Huang, S. J., Yung, A., Ding, J., Kwon, O., Bavelier, D., & Levi, D. M. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0264 · Cited by 115

The Extraction of 3D Shape from Texture and Shading in the Human Brain

Georgieva, S. S., Todd, J. T., Peeters, R. R., & Orban, G. A. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn002 · Cited by 108

Dorsal–ventral integration in object recognition

Farivar, R. (2009) · Brain Research Reviews · doi:10.1016/j.brainresrev.2009.05.006 · Cited by 114

Extracting 3D structure from disparity

Orban, G. A., Janssen, P., & Vogels, R. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.06.012 · Cited by 99

Polarization-perceptual anisotropic two-dimensional ReS 2 neuro-transistor with reconfigurable neuromorphic vision

Xie, D., Yin, K., Yang, Z., Huang, H., Li, X., Shu, Z., Duan, H., He, J., & Jiang, J. (2022) · Materials Horizons · doi:10.1039/d1mh02036f · Cited by 93

Neural Correlates of Disparity-Defined Shape Discrimination in the Human Brain

Chandrasekaran, C., Canon, V., Dahmen, J. C., Kourtzi, Z., & Welchman, A. E. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01074.2006 · Cited by 90

Neuroimaging of amblyopia and binocular vision: a review

Joly, O., & Frankó, E. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00062 · Cited by 85

Activation in Visual Cortex Correlates with the Awareness of Stereoscopic Depth

Brouwer, G. J., van Ee, R., & Schwarzbach, J. V. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.2408-05.2005 · Cited by 85

Disparity-Tuned Population Responses from Human Visual Cortex

Cottereau, B. R., McKee, S. P., Ales, J. M., & Norcia, A. M. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3795-10.2011 · Cited by 80

Two Independent Mechanisms for Motion-In-Depth Perception: Evidence from Individual Differences

Nefs, H. T., O’Hare, L., & Harris, J. M. (2010) · Frontiers in Psychology · doi:10.3389/fpsyg.2010.00155 · Cited by 80

Perceptual shape sensitivity to upright and inverted faces is reflected in neuronal adaptation

Gilaie‐Dotan, S., Gelbard-Sagiv, H., & Malach, R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.077 · Cited by 79

Sensitivity of human visual cortical area V6 to stereoscopic depth gradients associated with self-motion

Cardin, V., & Smith, A. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.01120.2010 · Cited by 79

Preferential responses to occluded objects in the human visual cortex

Hegdé, J., Fang, F., Murray, S. O., & Kersten, D. (2008) · Journal of Vision · doi:10.1167/8.4.16 · Cited by 80

Projective Feature Learning for 3D Shapes with Multi-View Depth Images

Xie, Z., Xu, K., Shan, W., Liu, L., Xiong, Y., & Huang, H. F. (2015) · Computer Graphics Forum · doi:10.1111/cgf.12740 · Cited by 76

A neurocognitive study of the emotional impact of geometrical criteria of architectural space

Shemesh, A., Leisman, G., Bar, M., & Grobman, Y. J. (2021) · Architectural Science Review · doi:10.1080/00038628.2021.1940827 · Cited by 79

Artificial Intelligence, 3D Documentation, and Rock Art—Approaching and Reflecting on the Automation of Identification and Classification of Rock Art Images

Horn, C., Ivarsson, O., Lindhé, C., Potter, R., Green, A., & Ling, J. (2021) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-021-09518-6 · Cited by 70

Prior knowledge of illumination for 3D perception in the human brain

Gerardin, P., Kourtzi, Z., & Mamassian, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006285107 · Cited by 57

Functional Magnetic Resonance Adaptation in Visual Neuroscience

Weigelt, S., Muckli, L. F., & Kohler, A. (2008) · Reviews in the Neurosciences · doi:10.1515/revneuro.2008.19.4-5.363 · Cited by 53

Statistical Modeling of 3-D Natural Scenes With Application to Bayesian Stereopsis

Liu, Y., Cormack, L. K., & Bovik, A. C. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2118223 · Cited by 53

3D surface perception from motion involves a temporal–parietal network

Beer, A., Watanabe, T., Ni, R., Sasaki, Y., & Andersen, G. J. (2009) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.06857.x · Cited by 47

Integration of texture and disparity cues to surface slant in dorsal visual cortex

Murphy, A. P., Ban, H., & Welchman, A. E. (2013) · Journal of Neurophysiology · doi:10.1152/jn.01055.2012 · Cited by 46

Slant perception, and its voluntary control, do not govern the slant aftereffect: multiple slant signals adapt independently.

Knapen, T., & van Ee, R. (2006) · Vision Research · doi:10.1016/j.visres.2006.03.027 · Cited by 16

The Future of Collaborative Human-Artificial Intelligence Decision-Making for Mission Planning

Kase, S. E., Hung, C. P., Krayzman, T., Hare, J. Z., Rinderspacher, B. C., & Su, S. M. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.850628 · Cited by 40

Cuttlefish see shape from shading, fine-tuning coloration in response to pictorial depth cues and directional illumination

Zylinski, S., Osorio, D., & Johnsen, S. (2016) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2016.0062 · Cited by 39

Time-resolved fMRI of mental rotation revisited-dissociating visual perception from mental rotation in female subjects

Ecker, C., Brammer, M. J., David, A. S., & Williams, S. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.03.031 · Cited by 39

Differential patterns of 2D location versus depth decoding along the visual hierarchy

Finlayson, N. J., Zhang, X., & Golomb, J. D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.039 · Cited by 38

Effects of cortical damage on binocular depth perception

Bridge, H. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0254 · Cited by 36

Estimating 3D tilt from local image cues in natural scenes

Burge, J., McCann, B. C., & Geisler, W. S. (2016) · Journal of Vision · doi:10.1167/16.13.2 · Cited by 35

Representation of possible and impossible objects in the human visual cortex: Evidence from fMRI adaptation

Freud, E., Ganel, T., & Avidan, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.070 · Cited by 33

The Visual Neuroscience of Robotic Grasping

Chinellato, E., & del Pobil, A. P. (2015) · Cognitive systems monographs · doi:10.1007/978-3-319-20303-4 · Cited by 52

Reliability-dependent contributions of visual orientation cues in parietal cortex

Rosenberg, A., & Angelaki, D. E. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421131111 · Cited by 28

Shape, perspective, and what is and is not perceived: Comment on Morales, Bax, and Firestone (2020).

Burge, J., & Burge, T. (2022) · Psychological Review · doi:10.1037/rev0000363 · Cited by 28

Sensitivity to Object Impossibility in the Human Visual Cortex: Evidence from Functional Connectivity

Freud, E., Rosenthal, G., Ganel, T., & Avidan, G. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00753 · Cited by 26

Comparing encoding mechanisms in realistic virtual reality and conventional 2D laboratory settings: Event-related potentials in a repetition suppression paradigm

Johnsdorf, M., Kisker, J., Gruber, T., & Schöne, B. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1051938 · Cited by 27

An evaluation of the visualisation and interpretive potential of applying GIS data processing techniques to 3D rock art data

Horn, C., Pitman, D., & Potter, R. (2019) · Journal of Archaeological Science Reports · doi:10.1016/j.jasrep.2019.101971 · Cited by 25

The lawful imprecision of human surface tilt estimation in natural scenes

Kim, S., & Burge, J. (2018) · eLife · doi:10.7554/elife.31448 · Cited by 23

Higher resolution stimulus facilitates depth perception: MT+ plays a significant role in monocular depth perception

Tsushima, Y., Komine, K., Sawahata, Y., & Hiruma, N. (2014) · Scientific Reports · doi:10.1038/srep06687 · Cited by 25

Size and shape constancy in consumer virtual reality

Hornsey, R. L., Hibbard, P. B., & Scarfe, P. (2020) · Behavior Research Methods · doi:10.3758/s13428-019-01336-9 · Cited by 25

Binding 3-D Object Perception in the Human Visual Cortex

Jiang, Y., Boehler, C. N., Nöennig, N., Düzel, E., Hopf, J., Heinze, H., & Schoenfeld, M. A. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20050 · Cited by 24

3-D Reconstruction from Sparse Views using Monocular Vision

Saxena, A., Sun, M., & Ng, A. Y. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409219 · Cited by 24

Frames of reference for the light-from-above prior in visual search and shape judgements

Adams, W. J. (2007) · Cognition · doi:10.1016/j.cognition.2007.08.006 · Cited by 23

Single-cell selectivity and functional architecture of human lateral occipital complex

Decramer, T., Premereur, E., Uytterhoeven, M., Paesschen, W. V., Loon, J. V., Janssen, P., & Theys, T. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000280 · Cited by 22

Tract-based spatial statistics analysis of white matter changes in children with anisometropic amblyopia

Li, Q., Zhai, L., Jiang, Q., Qin, W., Li, Q., Yin, X., & Guo, M. (2015) · Neuroscience Letters · doi:10.1016/j.neulet.2015.04.027 · Cited by 21

fMRI correlates of subjective reversals in ambiguous structure-from-motion

Freeman, E. D., Sterzer, P., & Driver, J. (2012) · Journal of Vision · doi:10.1167/12.6.35 · Cited by 20

Cue-dependent effects of VR experience on motion-in-depth sensitivity

Fulvio, J. M., Ji, M., Thompson, L. W., Rosenberg, A., & Rokers, B. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229929 · Cited by 21

An fMRI study of the reverse perspective illusion

Hayashi, T., Umeda, C., & Cook, N. D. (2007) · Brain Research · doi:10.1016/j.brainres.2007.05.073 · Cited by 20

Human primary visual cortex shows larger population receptive fields for binocular disparity-defined stimuli

Alvarez, I., Hurley, S. A., Parker, A. J., & Bridge, H. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02351-3 · Cited by 18

Flexible integration of visual cues in adolescents with autism spectrum disorder

Bedford, R., Pellicano, E., Denis Mareschal, B., & Marko Nardini, A. (2015) · Autism Research · doi:10.1002/aur.1509 · Cited by 18

Using Eye Tracking to Explore the Guidance and Constancy of Visual Variables in 3D Visualization

Liu, B., Dong, W., & Meng, L. (2017) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi6090274 · Cited by 18

Feature-location binding in 3D: Feature judgments are biased by 2D location but not position-in-depth

Finlayson, N. J., & Golomb, J. D. (2016) · Vision Research · doi:10.1016/j.visres.2016.07.003 · Cited by 18

THE NEUROSCIENCE OF VISION-BASED GRASPING: A FUNCTIONAL REVIEW FOR COMPUTATIONAL MODELING AND BIO-INSPIRED ROBOTICS

Chinellato, E., & del Pobil, A. P. (2009) · Journal of Integrative Neuroscience · doi:10.1142/s0219635209002137 · Cited by 16

Separate Perceptual and Neural Processing of Velocity- and Disparity-Based 3D Motion Signals

Joo, S. J., Czuba, T. B., Cormack, L. K., & Huk, A. C. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1298-16.2016 · Cited by 15

Stereotest Comparison: Efficacy, Reliability, and Variability of a New Glasses-Free Stereotest

McCaslin, A. G., Vancleef, K., Hubert, L., Read, J. C. A., & Port, N. (2020) · Translational Vision Science & Technology · doi:10.1167/tvst.9.9.29 · Cited by 15

Abnormal effective connectivity in visual cortices underlies stereopsis defects in amblyopia

Chen, X., Liao, M., Jiang, P., Sun, H., Liu, L., & Gong, Q. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103005 · Cited by 16

Luminance contrast provides metric depth information

Hibbard, P. B., Goutcher, R., Hornsey, R. L., Hunter, D. W., & Scarfe, P. (2023) · Royal Society Open Science · doi:10.1098/rsos.220567 · Cited by 18

A matched comparison of binocular rivalry and depth perception with fMRI

Buckthought, A., & Mendola, J. D. (2011) · Journal of Vision · doi:10.1167/11.6.3 · Cited by 15

Representing stuff in the human brain

Schmid, A. C., & Doerschner, K. (2019) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2019.10.007 · Cited by 16

Optimized but Not Maximized Cue Integration for 3D Visual Perception

Chang, T.-Y., Kim, B., Thompson, L. W., Sunkara, A., Doudlah, R. C., & Rosenberg, A. (2019) · eNeuro · doi:10.1523/eneuro.0411-19.2019 · Cited by 14

Event-related functional magnetic resonance imaging (efMRI) of depth-by-disparity perception: additional evidence for right-hemispheric lateralization

Baecke, S., Lützkendorf, R., Tempelmann, C., Müller, C., Adolf, D., Scholz, M., & Bernarding, J. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-1844-z · Cited by 15

Bistable Percepts in the Brain: fMRI Contrasts Monocular Pattern Rivalry and Binocular Rivalry

Buckthought, A., Jessula, S., & Mendola, J. D. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020367 · Cited by 15

Numerosity and density judgments: Biases for area but not for volume

Bell, J., Manson, A., Edwards, M., & Meso, A. I. (2015) · Journal of Vision · doi:10.1167/15.2.18 · Cited by 15

Asymmetry in the perception of motion in depth induced by moving cast shadows

Imura, T., Shirai, N., Tomonaga, M., Yamaguchi, M. K., & Yagi, A. (2008) · Journal of Vision · doi:10.1167/8.13.10 · Cited by 15

Using Functional Near Infrared Spectroscopy (fNIRS) to Study Dynamic Stereoscopic Depth Perception

Ward, L. M., Morison, G., Simpson, W. A., Simmers, A. J., & Shahani, U. (2016) · Brain Topography · doi:10.1007/s10548-016-0476-4 · Cited by 14

Perceptual Incongruence Influences Bistability and Cortical Activation

Brouwer, G. J., Tong, F., Peter Hagoort, A., & van Ee, R. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005056 · Cited by 14

Computation and measurement of slant specified by linear perspective

Erkelens, C. J. (2013) · Journal of Vision · doi:10.1167/13.13.16 · Cited by 13

Audio-Visual Perception of 3D Cinematography: An fMRI Study Using Condition-Based and Computation-Based Analyses

Ogawa, A., Bordier, C., & Macaluso, E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076003 · Cited by 13

Stereo viewing modulates three-dimensional shape processing during object recognition: A high-density ERP study.

Oliver, Z. J., Cristino, F., Roberts, M. V., Pegna, A. J., & Leek, E. C. (2017) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000444 · Cited by 13

Loss of Binocular Vision in Monocularly Blind Patients Causes Selective Degeneration of the Superior Lateral Occipital Cortices

Prins, D., Jansonius, N. M., & Cornelissen, F. W. (2017) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.16-20404 · Cited by 12

Undetectable Changes in Image Resolution of Luminance-Contrast Gradients Affect Depth Perception

Tsushima, Y., Komine, K., Sawahata, Y., & Morita, T. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00242 · Cited by 12

Distance and orientation estimation of graspable objects in natural and artificial systems

Chinellato, E., & del Pobil, A. P. (2008) · Neurocomputing · doi:10.1016/j.neucom.2008.06.018 · Cited by 12

Surface organization influences bistable vision.

Graf, E., & Adams, W. (2008) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.34.2.502 · Cited by 11

Transfer of perceptual learning of depth discrimination between local and global stereograms

Gantz, L., & Bedell, H. E. (2010) · Vision Research · doi:10.1016/j.visres.2010.06.011 · Cited by 12

Impossible expectations: fMRI adaptation in the lateral occipital complex (LOC) is modulated by the statistical regularities of 3D structural information

Freud, E., Ganel, T., & Avidan, G. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.085 · Cited by 11

Uncertainty reveals surround modulation of shape

van der Kooij, K., & Pas, S. F. T. (2009) · Journal of Vision · doi:10.1167/9.3.15 · Cited by 11

Stereo Disparity Facilitates View Generalization during Shape Recognition for Solid Multipart Objects

Cristino, F., Davitt, L. I., Hayward, W. G., & Leek, E. C. (2015) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2015.1017512 · Cited by 11

Size-distance rescaling in the ensemble representation of range: Study with binocular and monocular cues

Markov, Y., & Tiurina, N. A. (2020) · Acta Psychologica · doi:10.1016/j.actpsy.2020.103238 · Cited by 10

Cortical Deficits are Correlated with Impaired Stereopsis in Patients with Strabismus

Xi, S., Zhou, Y., Yao, J., Ye, X., Zhang, P., Wen, W., & Zhao, C. (2022) · Neuroscience Bulletin · doi:10.1007/s12264-022-00987-7 · Cited by 10

Identification of different shapes, colors and sizes of standard oral dosage forms in diabetes type 2 patients—A pilot study

Stegemann, S., Riedl, R., & Sourij, H. (2016) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2016.11.066 · Cited by 10

Burge on perception and sensation

Olin, L. (2014) · Synthese · doi:10.1007/s11229-014-0531-1 · Cited by 11

Organization of Human Visual Cortex

Rajimehr, R., & Tootell, R. B. H. (2008) · Elsevier eBooks · doi:10.1016/b978-012370880-9.00292-9 · Cited by 11

Neural basis of 3-D shape aftereffects

Li, A., Tzen, B., Yadgarova, A., & Zaidi, Q. (2008) · Vision Research · doi:10.1016/j.visres.2007.11.009 · Cited by 9

Active Vision in Binocular Depth Estimation: A Top-Down Perspective

Priorelli, M., Pezzulo, G., & Stoianov, I. P. (2023) · Biomimetics · doi:10.3390/biomimetics8050445 · Cited by 9

Pose Estimation Through Cue Integration: A Neuroscience-Inspired Approach

Chinellato, E., Grzyb, B. J., & del Pobil, A. P. (2011) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2011.2168952 · Cited by 9

Linking brain imaging signals to visual perception

Welchman, A. E., & Kourtzi, Z. (2013) · Visual Neuroscience · doi:10.1017/s0952523813000436 · Cited by 9

Task feedback suggests a post-perceptual component to serial dependence

Fulvio, J. M., Rokers, B., & Samaha, J. (2023) · Journal of Vision · doi:10.1167/jov.23.10.6 · Cited by 10

Multivariate Analysis of BOLD Activation Patterns Recovers Graded Depth Representations in Human Visual and Parietal Cortex

Henderson, M. M., Vo, V. A., Chunharas, C., Sprague, T. C., & Serences, J. T. (2019) · eNeuro · doi:10.1523/eneuro.0362-18.2019 · Cited by 9

Perceptual Integration for Qualitatively Different 3-D Cues in the Human Brain

Dövencioğlu, D. N., Ban, H., Schofield, A. J., & Welchman, A. E. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00417 · Cited by 33

fMRI correlates of visual cue combination

Welchman, A. E., Deubelius, A., Maier, S. J., Bülthoff, H., & Kourtzi, Z. (2010) · Journal of Vision · doi:10.1167/3.9.850

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The integration of motion and disparity cues to depth in dorsal visual cortex

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