Population coding of shape in area V4

Cited by (550)

Items 101–200 of 550

1. Receptive field focus of visual area V4 neurons determines responses to illusory surfaces
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2. Temporal Limitations in Object Processing Across the Human Ventral Visual Pathway
   Thomas J. McKeeff, David A. Remus, Frank Tong · 2007 · Journal of Neurophysiology
3. Neural basis of shape representation in the primate brain
   Anitha Pasupathy · 2006 · Progress in brain research
4. Glass pattern responses in macaque V2 neurons
   Matthew A. Smith, Adam Kohn, J. Anthony Movshon · 2007 · Journal of Vision
5. Trade-off between curvature tuning and position invariance in visual area V4
   Tatyana O. Sharpee, Minjoon Kouh, John H. Reynolds · 2013 · Proceedings of the National Academy of Sciences
6. Coding of Shape Features in the Macaque Anterior Intraparietal Area
   Maria C. Romero, Pierpaolo Pani, Peter Janssen · 2014 · Journal of Neuroscience
7. Processing convexity and concavity along a 2-D contour: figure–ground, structural shape, and attention
   Marco Bertamini, Johan P. Wagemans · 2012 · Psychonomic Bulletin & Review
8. Processing of Kinetic Boundaries in Macaque V4
   Santosh G. Mysore, Rufin Vogels, Steven E. Raiguel, Guy A. Orban · 2005 · Journal of Neurophysiology
9. Saccadic localization in the presence of cues to three-dimensional shape
   Dhanraj Vishwanath, Eileen Kowler · 2004 · Journal of Vision
10. Superordinate shape classification using natural shape statistics
    John Wilder, Jacob Feldman, Manish Singh · 2011 · Cognition
11. The validated circular shape space: Quantifying the visual similarity of shape.
    Aedan Y. Li, Jackson C. Liang, Andy C. H. Lee, Morgan D. Barense · 2019 · Journal of Experimental Psychology General
12. Stereo saliency map considering affective factors and selective motion analysis in a dynamic environment
    Sungmoon Jeong, Sang-Woo Ban, Minho Lee · 2008 · Neural Networks
13. Your head is there to move you around: Goal-driven models of the primate dorsal pathway
    Patrick Mineault, Shahab Bakhtiari, Blake A. Richards, Christopher C. Pack · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
14. Do we understand high-level vision?
    David Cox · 2014 · Current Opinion in Neurobiology
15. The Role of Visual Area V4 in the Discrimination of Partially Occluded Shapes
    Yoshito Kosai, Yasmine El-Shamayleh, Amber M Fyall, Anitha Pasupathy · 2014 · Journal of Neuroscience
16. Human V4 Activity Patterns Predict Behavioral Performance in Imagery of Object Color
    Michael M. Bannert, Andreas Bartels · 2018 · Journal of Neuroscience
17. The spatial feature underlying the shape-frequency and shape-amplitude after-effects
    Elena Gheorghiu, Frederick A. A. Kingdom · 2007 · Vision Research
18. Improved modeling of human vision by incorporating robustness to blur in convolutional neural networks
    Hojin Jang, Frank Tong · 2024 · Nature Communications
19. Time-course contingencies in perceptual organization and identification of fragmented object outlines.
    Sven Panis, Johan P. Wagemans · 2009 · Journal of Experimental Psychology Human Perception & Performance
20. A biologically plausible model of human shape symmetry perception
    Frédéric J.A.M. Poirier, Hugh R. Wilson · 2010 · Journal of Vision
21. Contour junctions underlie neural representations of scene categories in high-level human visual cortex
    Heeyoung Choo, Dirk B. Walther · 2016 · NeuroImage
22. Temporally dynamic frequency tuning of population responses in monkey primary auditory cortex
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23. Non-linear global pooling in the discrimination of circular and non-circular shapes
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24. Perceptual saliency of points along the contour of everyday objects: A large-scale study
    Joeri De Winter, Johan P. Wagemans · 2008 · Perception & Psychophysics
25. Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images
    George Azzopardi, Antonio Greco, Alessia Saggese, Mario Vento · 2018 · IEEE Access
26. The Roles of Endstopped and Curvature Tuned Computations in a Hierarchical Representation of 2D Shape
    Antonio J. Rodríguez-Sánchez, John K. Tsotsos · 2012 · PLoS ONE
27. Visual Search Targeting Either Local or Global Perceptual Processes Differs as a Function of Autistic-Like Traits in the Typically Developing Population
    Renita A. Almeida, J. Edwin Dickinson, Murray T. Maybery, Johanna Claire Badcock, David R. Badcock · 2012 · Journal of Autism and Developmental Disorders
28. Encoding of long-term associations through neural unitization in the human medial temporal lobe
    Hernan Gonzalo Rey, Emanuela De Falco, Matias J. Ison, Antonio Valentı́n, Gonzalo Alarcón, Richard Selway, Mark Philip Richardson, Rodrigo Quian Quiroga · 2018 · Nature Communications
29. Nonlinear processing of shape information in rat lateral extrastriate cortex
    Giulio Matteucci, Rosilari Bellacosa Marotti, Margherita Riggi, Federica Bianca Rosselli, Davide Zoccolan · 2019 · Journal of Neuroscience
30. Simultaneous shape repulsion and global assimilation in the perception of aspect ratio
    Timothy D. Sweeny, Marcia Grabowecky, S. Suzuki · 2011 · Journal of Vision
31. Infants’ perception of information along object boundaries: Concavities versus convexities
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32. Further evidence that local cues to shape in RF patterns are integrated globally
    J. Edwin Dickinson, J. McGinty, K. E. Webster, David R. Badcock · 2012 · Journal of Vision
33. Early Emergence of Solid Shape Coding in Natural and Deep Network Vision
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34. Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models
    Hongru Zhu, Peng Tang, Jeongho Park, Soojin Park, Alan Yuille · 2019 · arXiv (Cornell University)
35. Radial frequency adaptation reveals interacting contour shape channels
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36. Perceptual Continuity and the Emergence of Perceptual Persistence in the Ventral Visual Pathway
    Mary‐Ellen Large, Adrian Aldcroft, Tutis Vilis · 2005 · Journal of Neurophysiology
37. Luminance-contrast properties of contour-shape processing revealed through the shape-frequency after-effect
    Elena Gheorghiu, Frederick A. A. Kingdom · 2006 · Vision Research
38. From orientations to objects: Configural processing in the ventral stream
    Hugh R. Wilson, Frances E. Wilkinson · 2015 · Journal of Vision
39. Gender recognition from face images with trainable COSFIRE filters
    George Azzopardi, Antonio Greco, Mario Vento · 2016 · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
40. Multiplication in curvature processing
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41. Valuable orientations capture attention
    Patryk A. Laurent, Michelle G. Hall, Brian A. Anderson, Steven Yantis · 2014 · Visual Cognition
42. Contributions of magno- and parvocellular channels to conscious and non-conscious vision
    Bruno G. Breitmeyer · 2014 · Philosophical Transactions of the Royal Society B Biological Sciences
43. Deep learning-driven characterization of single cell tuning in primate visual area V4 supports topological organization
    Konstantin F. Willeke, Kelli Restivo, Katrin Franke, Arne Nix, Santiago A. Cadena, Tori Shinn, Cate Nealley, Gabrielle Rodriguez, Saumil Surendra Patel, Alexander S. Ecker et al. · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
44. Neural dynamics of feedforward and feedback processing in figure-ground segregation
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45. Global shape processing: Which parts form the whole?
    Jason Bell, Sarah Price Hancock, F. A. A. Kingdom, Jonathan W. Peirce · 2010 · Journal of Vision
46. Selective mechanisms for simple contours revealed by compound adaptation
    Sarah Price Hancock, Jonathan W. Peirce · 2008 · Journal of Vision
47. Narrow-band radial frequency shape channels revealed by sub-threshold summation
    Jason Bell, David R. Badcock · 2009 · Vision Research
48. Radial frequency adaptation suggests polar-based coding of local shape cues
    Jason Bell, J. Edwin Dickinson, David R. Badcock · 2008 · Vision Research
49. Unconscious and conscious priming by forms and their parts
    Bruno G. Breitmeyer, Haluk Öğmen, Jose Ramon, Jian Chen · 2005 · Visual Cognition
50. Curvature-processing domains in primate V4
    Rendong Tang, Qianling Song, Ying Li, Rui Zhang, Xingya Cai, Haidong D. Lu · 2020 · eLife
51. Collinear facilitation and contour integration in autism: evidence for atypical visual integration
    Stephen Jachim, Paul A. Warren, Niall P. McLoughlin, Emma Gowen · 2015 · Frontiers in Human Neuroscience
52. An illusion predicted by V1 population activity implicates cortical topography in shape perception
    Melchi M. Michel, Yuzhi Chen, Wilson S. Geisler, Eyal Seidemann · 2013 · Nature Neuroscience
53. Curvature domains in V4 of macaque monkey
    Jia Ming Hu, Xue Mei Song, Qiannan Wang, Anna Wang Roe · 2020 · eLife
54. The time course of shape discrimination in the human brain
    Justin M. Ales, Lawrence G. Appelbaum, Benoit R. Cottereau, Anthony M. Norcia · 2012 · NeuroImage
55. Mental structures
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56. Geometric determinants of shape segmentation: Tests using segment identification
    Elias H. Cohen, Manish Singh · 2007 · Vision Research
57. Spatial properties of curvature-encoding mechanisms revealed through the shape-frequency and shape-amplitude after-effects
    Elena Gheorghiu, Frederick A. A. Kingdom · 2008 · Vision Research
58. Chromatic tuning of contour-shape mechanisms revealed through the shape-frequency and shape-amplitude after-effects
    Elena Gheorghiu, Frederick A. A. Kingdom · 2007 · Vision Research
59. The DeepTune framework for modeling and characterizing neurons in visual cortex area V4
    Reza Abbasi-Asl, Yuansi Chen, Adam E. Bloniarz, Michael Oliver, Ben D. B. Willmore, Jack L. Gallant, Bin Yu · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
60. Global shape processing involves a hierarchy of integration stages
    Jason Bell, Elena Gheorghiu, Robert F. Hess, Frederick A. A. Kingdom · 2011 · Vision Research
61. Dynamics of shape interaction in human vision
    Claudine Habak, Frances E. Wilkinson, Hugh R. Wilson · 2006 · Vision Research
62. Awareness Becomes Necessary Between Adaptive Pattern Coding of Open and Closed Curvatures
    Timothy D. Sweeny, Marcia Grabowecky, Satoru Suzuki · 2011 · Psychological Science
63. Modulation of V1 Activity by Shape: Image-Statistics or Shape-Based Perception?
    Serge Olaf Dumoulin, Robert F. Hess · 2006 · Journal of Neurophysiology
64. Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons
    Zhou, Baohua, Li, Zifan, Kim, Sunnie, Lafferty, John, Clark, Damon A · 2022 · eLife
65. Separate banks of information channels encode size and aspect ratio
    J. Edwin Dickinson, Sarah Katherine Morgan, Matthew F. Tang, David R. Badcock · 2017 · Journal of Vision
66. Priming of probabilistic attentional templates
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67. Spikiness and animacy as potential organizing principles of human ventral visual cortex
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68. The representation of subordinate shape similarity in human occipitotemporal cortex
    Sven Panis, Joris Vangeneugden, Hans Op de Beeck, Johan P. Wagemans · 2008 · Journal of Vision
69. Shape Selectivity for Camouflage-Breaking Dynamic Stimuli in Dorsal V4 Neurons
    Santosh G. Mysore, Rufin Vogels, Steven E. Raiguel, Guy A. Orban · 2007 · Cerebral Cortex
70. Distinct lower visual field preference for object shape
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71. A conceptual framework of computations in mid-level vision
    Jonas Kubilius, Johan P. Wagemans, Hans Op de Beeck · 2014 · Frontiers in Computational Neuroscience
72. Classification of silhouettes using contour fragments
    Mohammad Reza Daliri, Vincent Torre · 2009 · Computer Vision and Image Understanding
73. Early recurrence enables figure border ownership
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74. Near Their Thresholds for Detection, Shapes Are Discriminated by the Angular Separation of Their Corners
    J. Edwin Dickinson, Jason Bell, David R. Badcock · 2013 · PLoS ONE
75. Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters
    George Azzopardi, Nicolai Petkov · 2011 · Lecture notes in computer science
76. Probing intermediate stages of shape processing
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77. Preservation of shape discrimination in aging
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78. BOLD Activation Varies Parametrically with Corner Angle Throughout Human Retinotopic Cortex
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79. Clustered functional domains for curves and corners in cortical area V4
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80. Object perception and masking: Contributions of sides and convexities
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81. How cortical neurons help us see: visual recognition in the human brain
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82. Radial Frequency Analysis of Contour Shapes in the Visual Cortex
    Viljami R. Salmela, Linda Henriksson, Simo Vanni · 2016 · PLoS Computational Biology
83. Space of preattentive shape features
    Liqiang Huang · 2020 · Journal of Vision
84. Contour inflections are adaptable features
    Jason Bell, Sinthujaa Sampasivam, David P. McGovern, Andrew Isaac Meso, F. A. A. Kingdom · 2014 · Journal of Vision
85. Global contour shapes are coded differently from their local components
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86. Shape familiarity modulates preference for curvature in drawings of common-use objects
    Erick Gustavo Chuquichambi, Letizia Palumbo, Carlos Rey, Enric Munar · 2021 · PeerJ
87. Visual saliency and texture segregation without feature gradient
    Ohad Ben‐Shahar · 2006 · Proceedings of the National Academy of Sciences
88. Tolerance for local and global differences in the integration of shape information
    J. Edwin Dickinson, Serena J. Cribb, Hugh Riddell, David R. Badcock · 2015 · Journal of Vision
89. Flexible Learning of Natural Statistics in the Human Brain
    Dietrich Samuel Schwarzkopf, Jiaxiang Zhang, Zoe Kourtzi · 2009 · Journal of Neurophysiology
90. XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization
    Will Xiao, Gabriel Kreiman · 2020 · PLoS Computational Biology
91. Learning a Model of Shape Selectivity in V4 Cells Reveals Shape Encoding Mechanisms in the Brain
    Paria Mehrani, John K. Tsotsos · 2023 · Journal of Neuroscience
92. Compact deep neural network models of the visual cortex
    Benjamin R. Cowley, Patricia L. Stan, Jonathan W. Pillow, Matthew A. Smith · 2026 · Nature
93. Neuromorphic Computing: A Path to Artificial Intelligence Through Emulating Human Brains
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94. The mid-level vision toolbox for computing structural properties of real-world images
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95. Visual adaptation to convexity in macaque area V4
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96. The importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations
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97. Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas
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98. The human visual system uses a global closure mechanism
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99. Neurons in Macaque Area V4 Are Tuned for Complex Spatio-Temporal Patterns
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100. Local sensitivity to stimulus orientation and spatial frequency within the receptive fields of neurons in visual area 2 of macaque monkeys
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