Visual Functions of Primate Area V4

Literature Cited

1. Adelson EH. 2001. On seeing stuff: the perception of materials by humans and machines. Proceedings of the SPIE Volume 4299: Human Vision and Electronic Imaging VI BE Rogowitz, TN Pappas 1–12 Bellingham, WA: SPIE
   [Google Scholar]
2. Adelson EH, Bergen JR. 1991. The plenoptic function and the elements of early vision. Computational Models of Visual Processing M Landy, JA Movshon 3–20 Cambridge, MA: MIT Press
   [Google Scholar]
3. Albrecht DG, de Valois RL, Thorell LG 1980. Visual cortical neurons: Are bars or gratings the optimal stimuli. Science 207:442688–90
   [Google Scholar]
4. Arcizet F, Jouffrais C, Girard P 2008. Natural textures classification in area V4 of the macaque monkey. Exp. Brain Res. 189:1109–20
   [Google Scholar]
5. Arcizet F, Jouffrais C, Girard P 2009. Coding of shape from shading in area V4 of the macaque monkey. BMC Neurosci 10:1140
   [Google Scholar]
6. Bair W, Popovkina DV, De A, Pasupathy A 2015. Modeling shape representation in area V4 Paper presented at MODVIS Workshop St. Pete Beach, FL: May 13–15
7. Bakin JS, Nakayama K, Gilbert CD 2000. Visual responses in monkey areas V1 and V2 to three-dimensional surface configurations. J. Neurosci. 20:218188–98
   [Google Scholar]
8. Balaban H, Drew T, Luria R 2019. Neural evidence for an object-based pointer system underlying working memory. Cortex 119:362–72
   [Google Scholar]
9. Balas B, Nakano L, Rosenholtz R 2009. A summary-statistic representation in peripheral vision explains visual crowding. J. Vis. 9:1213
   [Google Scholar]
10. Barbas H, Mesulam M-M. 1985. Cortical afferent input to the principals region of the rhesus monkey. Neuroscience 15:3619–37
    [Google Scholar]
11. Bashivan P, Kar K, DiCarlo JJ 2019. Neural population control via deep image synthesis. Science 364:6439eaav9436
    [Google Scholar]
12. Bauer R, Heinze S. 2002. Contour integration in striate cortex. Exp. Brain Res. 147:2145–52
    [Google Scholar]
13. Bigelow AW, Kim T, Bair W, Pasupathy A 2019. Long-range apparent motion tuning in ventral visual area V4 Paper presented at Society for Neuroscience Meeting Chicago: Oct 19–23
14. Blakemore C, Tobin EA. 1972. Lateral inhibition between orientation detectors in the cat's visual cortex. Exp. Brain Res. 15:4439–40
    [Google Scholar]
15. Bouma H. 1973. Visual interference in the parafoveal recognition of initial and final letters of words. Vis. Res. 13:4767–82
    [Google Scholar]
16. Burrows BE, Moore T. 2009. Influence and limitations of popout in the selection of salient visual stimuli by area V4 neurons. J. Neurosci. 29:4815169–77
    [Google Scholar]
17. Bushnell BN, Harding PJ, Kosai Y, Bair W, Pasupathy A 2011a. Equiluminance cells in visual cortical area v4. J. Neurosci. 31:3512398–412
    [Google Scholar]
18. Bushnell BN, Harding PJ, Kosai Y, Pasupathy A 2011b. Partial occlusion modulates contour-based shape encoding in primate area V4. J. Neurosci. 31:114012–24
    [Google Scholar]
19. Cadieu C, Kouh M, Pasupathy A, Connor CE, Riesenhuber M, Poggio T 2007. A model of V4 shape selectivity and invariance. J. Neurophysiol. 98:31733–50
    [Google Scholar]
20. Carlson ET, Rasquinha RJ, Zhang K, Connor CE 2011. A sparse object coding scheme in area V4. Curr. Biol. 21:4288–93
    [Google Scholar]
21. Cavanaugh JR, Bair W, Movshon JA 2002. Selectivity and spatial distribution of signals from the receptive field surround in macaque V1 neurons. J. Neurophysiol. 88:52547–56
    [Google Scholar]
22. Chen M, Yan Y, Gong X, Gilbert CD, Liang H, Li W 2014. Incremental integration of global contours through interplay between visual cortical areas. Neuron 82:3682–94
    [Google Scholar]
23. Clarke S, Walsh V, Schoppig A, Assal G, Cowey A 1998. Colour constancy impairments in patients with lesions of the prestriate cortex. Exp. Brain Res. 123:1–2154–58
    [Google Scholar]
24. Coen-Cagli R, Kohn A, Schwartz O 2015. Flexible gating of contextual influences in natural vision. Nat. Neurosci. 18:111648–55
    [Google Scholar]
25. Cohen MR, Maunsell JHR. 2009. Attention improves performance primarily by reducing interneuronal correlations. Nat. Neurosci. 12:121594–600
    [Google Scholar]
26. Connor CE, Gallant JL, Preddie DC, Van Essen DC 1996. Responses in area V4 depend on the spatial relationship between stimulus and attention. J. Neurophysiol. 75:31306–8
    [Google Scholar]
27. Conway BR, Moeller S, Tsao DY 2007. Specialized color modules in macaque extrastriate cortex. Neuron 56:3560–73
    [Google Scholar]
28. Cooke T, Jäkel F, Wallraven C, Bülthoff HH 2007. Multimodal similarity and categorization of novel, three-dimensional objects. Neuropsychologia 45:3484–95
    [Google Scholar]
29. Cox MA, Schmid MC, Peters AJ, Saunders RC, Leopold DA, Maier A 2013. Receptive field focus of visual area V4 neurons determines responses to illusory surfaces. PNAS 110:4217095–100
    [Google Scholar]
30. David SV, Hayden BY, Gallant JL 2006. Spectral receptive field properties explain shape selectivity in area V4. J. Neurophysiol. 96:63492–505
    [Google Scholar]
31. David SV, Hayden BY, Mazer JA, Gallant JL 2008. Attention to stimulus features shifts spectral tuning of V4 neurons during natural vision. Neuron 59:3509–21
    [Google Scholar]
32. De Weerd P, Desimone R, Ungerleider LG 1996. Cue-dependent deficits in grating orientation discrimination after V4 lesions in macaques. Vis. Neurosci. 13:3529–38
    [Google Scholar]
33. De Weerd P, Peralta MR, Desimone R, Ungerleider LG 1999. Loss of attentional stimulus selection after extrastriate cortical lesions in macaques. Nat. Neurosci. 2:8753–58
    [Google Scholar]
34. DeYoe EA, Felleman DJ, Van Essen DC, McClendon E 1994. Multiple processing streams in occipitotemporal visual cortex. Nature 371:6493151–54
    [Google Scholar]
35. El-Shamayleh Y, Pasupathy A. 2016. Contour curvature as an invariant code for objects in visual area V4. J. Neurosci. 36:205532–43
    [Google Scholar]
36. Elder JH, Velisavljevic L. 2009. Cue dynamics underlying rapid detection of animals in natural scenes. J. Vis. 9:77
    [Google Scholar]
37. Fang Y, Chen M, Xu H, Li P, Han C et al. 2019. An orientation map for disparity-defined edges in area V4. Cereb. Cortex 29:2666–79
    [Google Scholar]
38. Felleman DJ, Van Essen DC 1991. Distributed hierarchical processing in the primate cerebral cortex. Cereb. Cortex 1:11–47
    [Google Scholar]
39. Felleman DJ, Xiao Y, McClendon E 1997. Modular organization of occipito-temporal pathways: cortical connections between visual area 4 and visual area 2 and posterior inferotemporal ventral area in macaque monkeys. J. Neurosci. 17:93185–200
    [Google Scholar]
40. Ferrera V, Rudolph KK, Maunsell JH 1994. Responses of neurons in the parietal and temporal visual pathways during a motion task. J. Neurosci. 14:106171–86
    [Google Scholar]
41. Freeman J, Simoncelli EP. 2011. Metamers of the ventral stream. Nat. Neurosci. 14:91195–201
    [Google Scholar]
42. Freeman J, Ziemba CM, Heeger DJ, Simoncelli EP, Movshon JA 2013. A functional and perceptual signature of the second visual area in primates. Nat. Neurosci. 16:7974–81
    [Google Scholar]
43. Fries P, Womelsdorf T, Oostenveld R, Desimone R 2008. The effects of visual stimulation and selective visual attention on rhythmic neuronal synchronization in macaque area V4. J. Neurosci. 28:184823–35
    [Google Scholar]
44. Fuster JM. 1989. The Prefrontal Cortex New York: Raven Press. , 2nd ed..
45. Fyall AM, El-Shamayleh Y, Choi H, Shea-Brown E, Pasupathy A 2017. Dynamic representation of partially occluded objects in primate prefrontal and visual cortex. eLife 6:e25784
    [Google Scholar]
46. Gallant JL, Braun J, Van Essen DC 1993. Selectivity for polar, hyperbolic, and Cartesian gratings in macaque visual cortex. Science 259:5091100–3
    [Google Scholar]
47. Gallant JL, Connor CE, Rakshit S, Lewis JW, Van Essen DC 1996. Neural responses to polar, hyperbolic, and Cartesian gratings in area V4 of the macaque monkey. J. Neurophysiol. 76:42718–39
    [Google Scholar]
48. Gattass R, Galkin TW, Desimone R, Ungerleider LG 2014. Subcortical connections of area V4 in the macaque. J. Comp. Neurol. 522:81941–65
    [Google Scholar]
49. Gattass R, Gross CG, Sandell JH 1981. Visual topography of V2 in the macaque. J. Comp. Neurol. 201:4519–39
    [Google Scholar]
50. Gattass R, Sousa A, Gross CG 1988. Visuotopic organization and extent of V3 and V4 of the macaque. J. Neurosci. 8:61831–45
    [Google Scholar]
51. Gawne TJ, Martin JM. 2002. Responses of primate visual cortical V4 neurons to simultaneously presented stimuli. J. Neurophysiol. 88:31128–35
    [Google Scholar]
52. Gheorghiu E, Kingdom FAA, Petkov N 2014. Contextual modulation as de-texturizer. Vis. Res. 104:12–23
    [Google Scholar]
53. Ghose GM, Ts'O DY. 1997. Form processing modules in primate area V4. J. Neurophysiol. 77:42191–96
    [Google Scholar]
54. Haenny PE, Maunsell JH, Schiller PH 1988. State dependent activity in monkey visual cortex. II. Retinal and extraretinal factors in V4. Exp. Brain Res. 69:2245–59
    [Google Scholar]
55. Haenny PE, Schiller PH. 1988. State dependent activity in monkey visual cortex. I. Single cell activity in V1 and V4 on visual tasks. Exp. Brain Res. 69:2225–44
    [Google Scholar]
56. Hanazawa A, Komatsu H. 2001. Influence of the direction of elemental luminance gradients on the responses of V4 cells to textured surfaces. J. Neurosci. 21:124490–97
    [Google Scholar]
57. Hayden BY, Gallant JL. 2005. Time course of attention reveals different mechanisms for spatial and feature-based attention in area V4. Neuron 47:5637–43
    [Google Scholar]
58. Hayden BY, Gallant JL. 2013. Working memory and decision processes in visual area V4. Front. Neurosci. 7:18
    [Google Scholar]
59. Heywood CA, Gadotti A, Cowey A 1992. Cortical area V4 and its role in the perception of color. J. Neurosci. 12:104056–65
    [Google Scholar]
60. Hinkle DA, Connor CE. 2001. Disparity tuning in macaque area V4. Neuroreport 12:2365–69
    [Google Scholar]
61. Hinkle DA, Connor CE. 2002. Three-dimensional orientation tuning in macaque area V4. Nat. Neurosci. 5:7665–70
    [Google Scholar]
62. Hubel DH, Wiesel TN. 1959. Receptive fields of single neurones in the cat's striate cortex. J. Physiol. 148:3574–91
    [Google Scholar]
63. Hubel DH, Wiesel TN. 1968. Receptive fields and functional architecture of monkey striate cortex. J. Physiol. 195:215–43
    [Google Scholar]
64. Hupé J-M, James AC, Girard P, Bullier J 2001. Response modulations by static texture surround in area V1 of the macaque monkey do not depend on feedback connections from V2. J. Neurophysiol. 85:1146–63
    [Google Scholar]
65. Jiang R, Li M, Tang S 2019. Discrete neural clusters encode orientation, curvature and corners in macaque V4. bioRxiv 808907. https://doi.org/10.1101/808907
    [Crossref]
66. Kahneman D, Treisman A, Gibbs BJ 1992. The reviewing of object files: object-specific integration of information. Cogn. Psychol. 24:2175–219
    [Google Scholar]
67. Kapadia MK, Ito M, Gilbert CD, Westheimer G 1995. Improvement in visual sensitivity by changes in local context: parallel studies in human observers and in V1 of alert monkeys. Neuron 15:4843–56
    [Google Scholar]
68. Kennard C, Lawden M, Morland AB, Ruddock KH 1995. Colour identification and colour constancy are impaired in a patient with incomplete achromatopsia associated with prestriate cortical lesions. Proc. R. Soc. Lond. B 260:1358169–75
    [Google Scholar]
69. Kim J-N, Shadlen MN. 1999. Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque. Nat. Neurosci. 2:2176–85
    [Google Scholar]
70. Kim T, Bair W, Pasupathy A 2019a. Neural coding for shape and texture in macaque area V4. J. Neurosci. 39:244760–74
    [Google Scholar]
71. Kim T, Bair W, Pasupathy A 2019b. Response dynamics in primate V4 are modulated by perceptual dimensions of visual textures Paper presented at Society for Neuroscience Meeting Chicago: Oct 19–23
72. Knierim JJ, van Essen DC 1992. Neuronal responses to static texture patterns in area V1 of the alert macaque monkey. J. Neurophysiol. 67:4961–80
    [Google Scholar]
73. Kosai Y, El-Shamayleh Y, Fyall AM, Pasupathy A 2014. The role of visual area V4 in the discrimination of partially occluded shapes. J. Neurosci. 34:258570–84
    [Google Scholar]
74. Kusunoki M, Moutoussis K, Zeki S 2006. Effect of background colors on the tuning of color-selective cells in monkey area V4. J. Neurophysiol. 95:53047–59
    [Google Scholar]
75. Lamme VA, Supèr H, Spekreijse H 1998. Feedforward, horizontal, and feedback processing in the visual cortex. Curr. Opin. Neurobiol. 8:4529–35
    [Google Scholar]
76. Levi DM. 2008. Crowding—an essential bottleneck for object recognition: a mini-review. Vis. Res. 48:5635–54
    [Google Scholar]
77. Levitt JB, Lund JS. 1997. Contrast dependence of contextual effects in primate visual cortex. Nature 387:662873–76
    [Google Scholar]
78. Li P, Zhu S, Chen M, Han C, Xu H et al. 2013. A motion direction preference map in monkey V4. Neuron 78:2376–88
    [Google Scholar]
79. Liebe S, Hoerzer GM, Logothetis NK, Rainer G 2012. Theta coupling between V4 and prefrontal cortex predicts visual short-term memory performance. Nat. Neurosci. 15:3456–62
    [Google Scholar]
80. Lu Y, Yin J, Chen Z, Gong H, Liu Y et al. 2018. Revealing detail along the visual hierarchy: neural clustering preserves acuity from V1 to V4. Neuron 98:2417–28.e3
    [Google Scholar]
81. Luria R, Vogel EK. 2011. Shape and color conjunction stimuli are represented as bound objects in visual working memory. Neuropsychologia 49:61632–39
    [Google Scholar]
82. Manning TS, Britten KH. 2017. Motion processing in primates. Oxford Research Encyclopedia: Neuroscience Oxford, UK: Oxford Res. Encycl.
    [Google Scholar]
83. Markov YA, Tiurina NA, Utochkin IS 2019. Different features are stored independently in visual working memory but mediated by object-based representations. Acta Psychol 197:52–63
    [Google Scholar]
84. Martinez A, Ramanathan DS, Foxe JJ, Javitt DC, Hillyard SA 2007. The role of spatial attention in the selection of real and illusory objects. J. Neurosci. 27:307963–73
    [Google Scholar]
85. Maunsell JHR. 2015. Neuronal mechanisms of visual attention. Annu. Rev. Vis. Sci. 1:373–91
    [Google Scholar]
86. Maunsell JHR, Treue S. 2006. Feature-based attention in visual cortex. Trends Neurosci 29:6317–22
    [Google Scholar]
87. Mazer JA, Gallant JL. 2003. Goal-related activity in V4 during free viewing visual search: evidence for a ventral stream visual salience map. Neuron 40:61241–50
    [Google Scholar]
88. Merigan WH, Pham HA. 1998. V4 lesions in macaques affect both single- and multiple-viewpoint shape discriminations. Vis. Neurosci. 15:359–67
    [Google Scholar]
89. Mitchell JF, Sundberg KA, Reynolds JH 2009. Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4. Neuron 63:6879–88
    [Google Scholar]
90. Moran J, Desimone R. 1985. Selective attention gates visual processing in the extrastriate cortex. Science 229:782–84
    [Google Scholar]
91. Movshon JA, Simoncelli EP. 2014. Representation of naturalistic image structure in the primate visual cortex. Cold Spring Harb. Symp. Quant. Biol. 79:115–22
    [Google Scholar]
92. Movshon JA, Thompson ID, Tolhurst DJ 1978a. Spatial summation in the receptive fields of simple cells in the cat's striate cortex. J. Physiol. 283:153–77
    [Google Scholar]
93. Movshon JA, Thompson ID, Tolhurst DJ 1978b. Spatial and temporal contrast sensitivity of neurones in areas 17 and 18 of the cat's visual cortex. J. Physiol. 283:1101–20
    [Google Scholar]
94. Nakamura H, Gattass R, Desimone R, Ungerleider L 1993. The modular organization of projections from areas V1 and V2 to areas V4 and TEO in macaques. J. Neurosci. 13:93681–91
    [Google Scholar]
95. Namima T, Yasuda M, Banno T, Okazawa G, Komatsu H 2014. Effects of luminance contrast on the color selectivity of neurons in the macaque area v4 and inferior temporal cortex. J. Neurosci. 34:4514934–47
    [Google Scholar]
96. Nandy AS, Sharpee TO, Reynolds JH, Mitchell JF 2013. The fine structure of shape tuning in area V4. Neuron 78:61102–15
    [Google Scholar]
97. Nelson JI, Frost BJ. 1985. Intracortical facilitation among co-oriented, co-axially aligned simple cells in cat striate cortex. Exp. Brain Res. 61:154–61
    [Google Scholar]
98. Neri P. 2017. Object segmentation controls image reconstruction from natural scenes. PLOS Biol 15:8e1002611
    [Google Scholar]
99. Nielsen K. 2019. Clustering of 3D and 2D shape processing in area V4 Paper presented at Society for Neuroscience Meeting Chicago: Oct 19–23
100. Ninomiya T, Sawamura H, Inoue K, Takada M 2012a. Multisynaptic inputs from the medial temporal lobe to V4 in macaques. PLOS ONE 7:12e52115
     [Google Scholar]
101. Ninomiya T, Sawamura H, Inoue K, Takada M 2012b. Segregated pathways carrying frontally derived top-down signals to visual areas MT and V4 in macaques. J. Neurosci. 32:206851–58
     [Google Scholar]
102. Nothdurft H-C, Gallant JL, Van Essen DC 1999. Response modulation by texture surround in primate area V1: correlates of “popout” under anesthesia. Vis. Neurosci. 16:115–34
     [Google Scholar]
103. Nuthmann A, Henderson JM. 2010. Object-based attentional selection in scene viewing. J. Vis. 10:820
     [Google Scholar]
104. Ogawa T, Komatsu H. 2004. Target selection in area V4 during a multidimensional visual search task. J. Neurosci. 24:286371–82
     [Google Scholar]
105. Okazawa G, Tajima S, Komatsu H 2015. Image statistics underlying natural texture selectivity of neurons in macaque V4. PNAS 112:4E351–60
     [Google Scholar]
106. Okazawa G, Tajima S, Komatsu H 2017. Gradual development of visual texture-selective properties between macaque areas V2 and V4. Cereb. Cortex 27:104867–80
     [Google Scholar]
107. Oleskiw TD, Nowack A, Pasupathy A 2018. Joint coding of shape and blur in area V4. Nat. Commun. 9:1466
     [Google Scholar]
108. Oleskiw TD, Pasupathy A, Bair W 2014. Spectral receptive fields do not explain tuning for boundary curvature in V4. J. Neurophysiol. 112:92114–22
     [Google Scholar]
109. Parker AJ. 2007. Binocular depth perception and the cerebral cortex. Nat. Rev. Neurosci. 8:5379–91
     [Google Scholar]
110. Pasupathy A, Connor CE. 1999. Responses to contour features in macaque area V4. J. Neurophysiol. 82:52490–502
     [Google Scholar]
111. Pasupathy A, Connor CE. 2001. Shape representation in area V4: position-specific tuning for boundary conformation. J. Neurophysiol. 86:52505–19
     [Google Scholar]
112. Pasupathy A, Connor CE. 2002. Population coding of shape in area V4. Nat. Neurosci. 5:121332–38
     [Google Scholar]
113. Pasupathy A, El-Shamayleh Y, Popovkina D 2018. Visual shape and object perception. Oxford Research Encyclopedia: Neuroscience SM Sherman Oxford, UK: Oxford Res. Encycl.
     [Google Scholar]
114. Pelli DG, Tillman KA. 2008. The uncrowded window of object recognition. Nat. Neurosci. 11:101129–35
     [Google Scholar]
115. Pettine WW, Steinmetz NA, Moore T 2019. Laminar segregation of sensory coding and behavioral readout in macaque V4. PNAS 116:2914749–54
     [Google Scholar]
116. Polat U, Mizobe K, Pettet MW, Kasamatsu T, Norcia AM 1998. Collinear stimuli regulate visual responses depending on cell's contrast threshold. Nature 391:6667580–84
     [Google Scholar]
117. Pooresmaeili A, Poort J, Roelfsema PR 2014. Simultaneous selection by object-based attention in visual and frontal cortex. PNAS 111:176467–72
     [Google Scholar]
118. Poort J, Raudies F, Wannig A, Lamme VAF, Neumann H, Roelfsema PR 2012. The role of attention in figure-ground segregation in areas V1 and V4 of the visual cortex. Neuron 75:1143–56
     [Google Scholar]
119. Popovkina D, Bair W, Pasupathy A 2019. Modelling diverse responses to filled and outline shapes in macaque V4. J. Neurophysiol. 121:31059–77
     [Google Scholar]
120. Popovkina DV, Pasupathy A. 2019. Task context modulates feature-selective responses in area V4. bioRxiv 594150. https://doi.org/10.1101/594150
     [Crossref]
121. Portilla J, Simoncelli EP. 2000. A parametric texture model based on joint statistics of complex wavelet coefficients. Int. J. Comput. Vis. 40:149–70
     [Google Scholar]
122. Pospisil DA, Pasupathy A, Bair W 2018. “Artiphysiology” reveals V4-like shape tuning in a deep network trained for image classification. eLife 7:e38242
     [Google Scholar]
123. Riesenhuber M, Poggio T. 1999. Hierarchical models of object recognition in cortex. Nat. Neurosci. 2:111019–25
     [Google Scholar]
124. Romo R, de Lafuente V 2013. Conversion of sensory signals into perceptual decisions. Prog. Neurobiol. 103:41–75
     [Google Scholar]
125. Rosenholtz R, Huang J, Raj A, Balas BJ, Ilie L 2012. A summary statistic representation in peripheral vision explains visual search. J. Vis. 12:414
     [Google Scholar]
126. Schaffelhofer S, Scherberger H. 2016. Object vision to hand action in macaque parietal, premotor, and motor cortices. eLife 5:e15278
     [Google Scholar]
127. Schein SJ, Desimone R. 1990. Spectral properties of V4 neurons in the macaque. J. Neurosci. 10:103369–89
     [Google Scholar]
128. Schiller PH. 1993. The effects of V4 and middle temporal (MT) area lesions on visual performance in the rhesus monkey. Vis. Neurosci. 10:4717–46
     [Google Scholar]
129. Schiller PH, Lee K. 1991. The role of the primate extrastriate area V4 in vision. Science 251:49981251–53
     [Google Scholar]
130. Schut MJ, Fabius JH, Van der Stoep N, Van der Stigchel S 2017. Object files across eye movements: previous fixations affect the latencies of corrective saccades. Atten. Percept. Psychophys. 79:1138–53
     [Google Scholar]
131. Serre T, Wolf L, Poggio T 2005. Object recognition with features inspired by visual cortex. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition994–1000 Piscataway, NJ: IEEE
     [Google Scholar]
132. Sligte IG, Scholte HS, Lamme VAF 2009. V4 activity predicts the strength of visual short-term memory representations. J. Neurosci. 29:237432–38
     [Google Scholar]
133. Tanigawa H, Lu HD, Roe AW 2010. Functional organization for color and orientation in macaque V4. Nat. Neurosci. 13:121542–48
     [Google Scholar]
134. Tolias AS, Keliris GA, Smirnakis SM, Logothetis NK 2005. Reply to “Motion processing in macaque V4. .” Nat. Neurosci. 8:91125
     [Google Scholar]
135. Treisman A, Kahneman D, Burkell J 1983. Perceptual objects and the cost of filtering. Percept. Psychophys. 33:6527–32
     [Google Scholar]
136. Ungerleider LG, Galkin TW, Desimone R, Gattass R 2008. Cortical connections of area V4 in the macaque. Cereb. Cortex 18:3477–99
     [Google Scholar]
137. Van Gool L, Dewaele P, Oosterlinck A 1985. Texture analysis Anno 1983. Comput. Vis. Graph. Image Process. 29:3336–57
     [Google Scholar]
138. Victor JD, Conte MM. 2012. Local image statistics: maximum-entropy constructions and perceptual salience. J. Opt. Soc. Am. A 29:71313–45
     [Google Scholar]
139. Wallis TS, Funke CM, Ecker AS, Gatys LA, Wichmann FA, Bethge M 2019. Image content is more important than Bouma's Law for scene metamers. eLife 8:e42512
     [Google Scholar]
140. Walsh V. 1999. How does the cortex construct color. PNAS 96:2413594–96
     [Google Scholar]
141. Walsh V, Carden D, Butler SR, Kulikowski JJ 1993. The effects of V4 lesions on the visual abilities of macaques: hue discrimination and colour constancy. Behav. Brain Res. 53:1–251–62
     [Google Scholar]
142. Watanabe M, Tanaka H, Uka T, Fujita I 2002. Disparity-selective neurons in area V4 of macaque monkeys. J. Neurophysiol. 87:41960–73
     [Google Scholar]
143. Yamins DLK, Hong H, Cadieu CF, Solomon EA, Seibert D, DiCarlo JJ 2014. Performance-optimized hierarchical models predict neural responses in higher visual cortex. PNAS 111:238619–24
     [Google Scholar]
144. Yu Y, Schmid AM, Victor JD 2015. Visual processing of informative multipoint correlations arises primarily in V2. eLife 4:e06604
     [Google Scholar]
145. Zamarashkina P, Popovkina DV, Pasupathy A 2020. Stimulus and task dependence of response latencies in primate area V4. J. Neurophysiol. 17:10476
     [Google Scholar]
146. Zeki S, Aglioti S, McKeefry D, Berlucchi G 1999. The neurological basis of conscious color perception in a blind patient. PNAS 96:2414124–29
     [Google Scholar]
147. Zeki S, Shipp S. 1989. Modular connections between areas V2 and V4 of macaque monkey visual cortex. Eur. J. Neurosci. 1:5494–506
     [Google Scholar]
148. Zeki SM. 1973. Colour coding in rhesus monkey prestriate cortex. Brain Res 53:422–27
     [Google Scholar]
149. Zhou H, Friedman HS, von der Heydt R 2000. Coding of border ownership in monkey visual cortex. J. Neurosci. 20:176594–611
     [Google Scholar]
150. Ziemba CM, Freeman J, Movshon JA, Simoncelli EP 2016. Selectivity and tolerance for visual texture in macaque V2. PNAS 113:22E3140–49
     [Google Scholar]