Population coding of shape in area V4

Cited by (550)

Items 301–400 of 550

1. An advantage for concavities in shape perception by chimpanzees (Pan troglodytes)
   Toyomi Matsuno, Masaki Tomonaga · 2007 · Behavioural Processes
2. Priming for symmetry detection of three-dimensional figures: Central axes can prime symmetry detection separately from local components
   Takashi Yamauchi, Lynn A. Cooper, H. John Hilton, Nicholas J. Szerlip, Hsin‐Chin Chen, Terrence M. Barnhardt · 2006 · Visual Cognition
3. NonLocal via Local–NonLinear via Linear: A New Part-coding Distance Field via Screened Poisson Equation
   Murat Genctav, Aslı Gençtav, Sibel Z. Tari · 2015 · Journal of Mathematical Imaging and Vision
4. Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity
   Guoqi Li, Lei Deng, Dong Wang, Wei Wang, Fei Zeng, Ziyang Zhang, Huanglong Li, Sen Song, Jing Pei, Luping Shi · 2016 · Frontiers in Computational Neuroscience
5. FVS 2.0: A unifying framework for understanding the factors of visual-attentional processing.
   Liqiang Huang · 2021 · Psychological Review
6. The importance of contrast features in rat vision
   Anna Elisabeth Schnell, Kasper Vinken, Hans Op de Beeck · 2023 · Scientific Reports
7. The encoding of category-specific versus nonspecific information in human inferior temporal cortex
   Bingbing Guo, Ming Meng · 2015 · NeuroImage
8. A curvature salience descriptor for full and partial shape matching
   Zhengbing Wang, Guili Xu, Yuehua Cheng, Ruipeng Guo, Zhengsheng Wang · 2018 · Multimedia Tools and Applications
9. Object representation in a gravitational reference frame
   Alexandriya MX Emonds, Ramanujan Srinath, Kristina J. Nielsen, Charles E. Connor · 2023 · eLife
10. Population coding of time-varying sounds in the nonlemniscal inferior colliculus
    Kaiwen Shi, Gunnar Lennart Quass, Meike M. Rogalla, Alexander N. Ford, Jordyn E. Czarny, Pierre F. Apostolides · 2024 · Journal of Neurophysiology
11. Nonresponsive Neurons Improve Population Coding of Object Location
    Myriah Haggard, Maurice J. Chacron · 2024 · Journal of Neuroscience
12. Computational modeling of the neural representation of object shape in the primate ventral visual system
    Akihiro Eguchi, Bedeho M. W. Mender, Benjamin D. Evans, Glyn W. Humphreys, Simon M. Stringer · 2015 · Frontiers in Computational Neuroscience
13. Shape Retrieval With Geometrically Characterized Contour Partitions
    Yuma Matsuda, Masatsugu Ogawa, Masafumi Yano · 2015 · IEEE Access
14. Sparse coding generates curvature selectivity in V4 neurons
    Yasuhiro Hatori, Tatsuroh Mashita, Kô Sakai · 2016 · Journal of the Optical Society of America A
15. Dynamic causal modeling for calcium imaging: Exploration of differential effective connectivity for sensory processing in a barrel cortical column
    Kyesam Jung, Jiyoung Kang, Seungsoo Chung, Hae‐Jeong Park · 2019 · NeuroImage
16. Neural responses to reflection symmetry for shapes defined by binocular disparity, and for shapes perceived as regions of background
    Elena Karakashevska, Giulia Rampone, John Tyson‐Carr, Alexis D. J. Makin, Marco Bertamini · 2021 · Neuropsychologia
17. Neural-like population coding based on spin-torque diode
    Huayao Tu, Like Zhang, Yanxiang Luo, Wenxing Lv, Ting Lei, Jialin Cai, Bin Fang, Giovanni Finocchio, Lifeng Bian, Shuping Li et al. · 2023 · Applied Physics Letters
18. Population coding in area V4 during rapid shape detections
    Katherine F. Weiner, Geoffrey M. Ghose · 2015 · Journal of Neurophysiology
19. A new angle on contour integration: The role of corners
    Malte Persike, Günter Meinhardt · 2017 · Journal of Vision
20. Practice improves peri-saccadic shape judgment but does not diminish target mislocalization
    Yuval Porat, Ehud Zohary · 2016 · Proceedings of the National Academy of Sciences
21. The Role of Constant Curvature in 2-D Contour Shape Representations
    Patrick Garrigan, Philip J. Kellman · 2011 · Perception
22. Orthogonal neural representations support perceptual judgments of natural stimuli
    Ramanujan Srinath, Amy M. Ni, Claire Marucci, Marlene R. Cohen, David H. Brainard · 2025 · Scientific Reports
23. Comparing the brainʼs representation of shape to that of a deep convolutional neural network
    Dean A. Pospisil, Anitha Pasupathy, Wyeth Bair · 2016 · International Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS)
24. Scotopic Contour Deformation Detection Reveals Early Rod Dysfunction in Age-Related Macular Degeneration With and Without Reticular Pseudodrusen
    Brett G. Jeffrey, Oliver J. Flynn, Laryssa A. Huryn, Maximilian Pfau, Catherine A. Cukras · 2022 · Investigative Ophthalmology & Visual Science
25. Orientation selectivity mapping in the visual cortex
    Mei-Lan Liu, Yipeng Liu, Xin-Xia Guo, Zhiyi Wu, Xiaotong Zhang, Anna Wang Roe, Jiaming Hu · 2024 · Progress in Neurobiology
26. Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks
    Xinyu Qian, Amirozhan Dehghani, Asa Farahani, Pouya Bashivan · 2026 · Nature Communications
27. Discrimination and identification of periodic motion trajectories
    Charles C.-F. Or, Mohamed Thabet, F. Wilkinson, Hugh R. Wilson · 2011 · Journal of Vision
28. The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body
    Irina Higgins, Simon M. Stringer · 2011 · Vision Research
29. Evolution of the Occipital Lobe
    Orlin S. Todorov, Alexandra Allison de Sousa · 2017 · Springer eBooks
30. Representation of Natural Contours by a Neural Population in Monkey V4
    Itsuki Machida, Motofumi Shishikura, Y. Yamane, Kô Sakai · 2024 · eNeuro
31. Spatiotemporal Form Integration: Sequentially presented inducers can lead to representations of stationary and rigidly rotating objects
    J. Daniel McCarthy, Lars Strother, Gideon Paul Caplovitz · 2015 · Attention Perception & Psychophysics
32. Global face distortion aftereffects tap face-specific and shape-generic processes
    Hugh Dennett, Mark Edwards, Elinor McKone · 2012 · Journal of Vision
33. Unwrapping the Ventral Stream: Figure 1.
    Jeremy Freeman, Corey M. Ziemba · 2011 · Journal of Neuroscience
34. Neural Representations Beyond “Plus X”
    Alessio Plebe, Vivian M. De La Cruz · 2018 · Minds and Machines
35. Can Contrast-Response Functions Indicate Visual Processing Levels?
    Bruno G. Breitmeyer, Srimant P. Tripathy, James Brown · 2018 · Vision
36. Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations
    Isaac J. Sledge, José Carlos Príncipe · 2021 · IEEE Transactions on Neural Networks and Learning Systems
37. http://journalofvision.org/10/3/17/
    Elena Gheorghiu · 2010 · Journal of Vision
38. Shape aftereffects reflect shape constancy operations: Appearance matters.
    Katherine R. Storrs, Derek Henry Arnold · 2013 · Journal of Experimental Psychology Human Perception & Performance
39. A Pong playing agent modelled with massively overlapping cell assemblies
    Kailash Nadh, Christian Huyck · 2010 · Neurocomputing
40. Linking brain to behavior for the visual perception of figures and objects
    Jeremy D. Fesi, Janine Dale Mendola · 2013 · Visual Neuroscience
41. Perceptual load modulates contour integration in conscious and unconscious states
    Kaiwen Cheng, Keyu Yang, Long Qin, Yixuan Zhuo, Hongmei Yan · 2019 · PeerJ
42. Modelling attention control using a convolutional neural network designed after the ventral visual pathway
    Chen-Ping Yu, Huidong Liu, Dimitrios Samaras, Gregory J. Zelinsky · 2019 · Visual Cognition
43. Brain-Inspired Algorithms for Processing of Visual Data
    Nicola Strisciuglio, Nicolai Petkov · 2021 · Lecture notes in computer science
44. Discrimination of rotated-in-depth curves is facilitated by stereoscopic cues, but curvature is not tuned for stereoscopic rotation-in-depth
    Jason Bell, Jameel Kanji, Frederick A. A. Kingdom · 2012 · Vision Research
45. Neural signature of the perceptual decision in the neural population responses of the inferior temporal cortex
    Mohammad‐Reza A. Dehaqani, Nazli Emadi, Abdol‐Hossein Vahabie, Amin Zandvakili, Hossein Esteky · 2022 · Scientific Reports
46. Correlation between neural responses and human perception in figure-ground segregation
    Motofumi Shishikura, Hiroshi Tamura, Kô Sakai · 2023 · Frontiers in Systems Neuroscience
47. Development of radial frequency pattern perception in macaque monkeys
    C. L. Rodríguez Deliz, Gerick M. Lee, Brittany N. Bushnell, Najib J. Majaj, J. Anthony Movshon, Lynne Kiorpes · 2024 · Journal of Vision
48. Fluctuating Distance Fields, Parts, Three-Partite Skeletons
    Sibel Z. Tari · 2012 · Mathematics and visualization
49. Adaptive shape coding for perceptual decisions in the human brain
    Zoe Kourtzi, Andrew E. Welchman · 2015 · Journal of Vision
50. The Effects of Short-term and Long-term Learning on the Responses of Lateral Intraparietal Neurons to Visually Presented Objects
    Heida Maria Sigurdardottir, David L. Sheinberg · 2015 · Journal of Cognitive Neuroscience
51. V4 neural network model for visual saliency and discriminative local representation of shapes
    Hui Wei, Dong Zheng · 2014 · International Joint Conference on Neural Networks (IJCNN)
52. Bio-inspired computational object classification model for object recognition
    Iván Axel Dounce, Luis Adrian Parra, Félix Ramos · 2022 · Cognitive Systems Research
53. Medialness and the Perception of Visual Art
    Frédéric Fol Leymarie, Prashant Aparajeya · 2017 · Art & Perception
54. A Computational Model That Enables Global Amodal Completion Based on V4 Neurons
    Kazuhiro Sakamoto, Taichi Kumada, Masafumi Yano · 2010 · Lecture notes in computer science
55. Unraveling Cross-Modal Development in Animals: Neural Substrate, Functional Coding and Behavioral Readout
    Ileana L. Hanganu‐Opatz, Benjamin A. Rowland, Malte Bieler, Kay Sieben · 2015 · Multisensory Research
56. Multidimensional space: the final frontier
    Shimon Edelman · 2002 · Nature Neuroscience
57. Multi-Scale Spatial Concatenations of Local Features in Natural Scenes and Scene Classification
    Xiaoyuan Zhu, Zhiyong Yang · 2013 · PLoS ONE
58. Figure-Ground Segregation by a Population of V4 Cells
    Masaharu Hasuike, Shuto Ueno, Minowa Dai, Y. Yamane, Hiroshi Tamura, Kô Sakai · 2015 · Lecture notes in computer science
59. Cortical Responses and Shape Complexity of Stereoscopic Image - A Simultaneous EEG/MEG Study
    Hohyun Cho, Min-Koo Kang, Sangtae Ahn, Moonyoung Kwon, Kuk‐Jin Yoon, Kiwoong Kim, Sung Chan Jun · 2016 · Neurosignals
60. On the self-organization of a hierarchical memory for compositional object representation in the visual cortex
    Evgueni Jitsev · 2010 · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt)
61. Contour junctions underlie neural representations of scene categories in high-level human visual cortex
    Heeyoung Choo, Dirk B. Walther · 2016 · bioRxiv (Cold Spring Harbor Laboratory)
62. From stuff to things: Responses of neurons in macaque V4 to textures and objects
    Justin D. Lieber, Timothy D. Oleskiw, Laura Palmieri, Eero P. Simoncelli, J. Anthony Movshon · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
63. Scanpath EEG dynamic, a new perspective for neuroaesthetic connoisseurship in paintings
    Guy Chéron, Jan De Maere · 2025 · Frontiers in Psychology
64. Visual shape representation with geometrically characterized contour partitions
    Yuma Matsuda, Masatsugu Ogawa, Masafumi Yano · 2012 · Biological Cybernetics
65. Representation of Local Figure-Ground by a Group of V4 Cells
    M. Hasuike, Y. Yamane, Hiroshi Tamura, Kô Sakai · 2016 · Lecture notes in computer science
66. COSFIRE: A Brain-Inspired Approach to Visual Pattern Recognition
    George Azzopardi, Nicolai Petkov · 2014 · Lecture notes in computer science
67. A null model for cortical representations with grandmothers galore
    Gabriel Kreiman · 2016 · Language Cognition and Neuroscience
68. Do wholes become more than the sum of their parts in the rodent (Rattus Norvegicus) visual system? A test case with the configural superiority effect
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69. How Invariant Feature Selectivity Is Achieved in Cortex
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70. Robustness of Reflection Symmetry Detection Methods on Visual Stresses in Human Perception Perspective
    Ibragim R. Atadjanov, Seungkyu Lee · 2018 · IEEE Access
71. Phase-selective masking with radial frequency contours
    Michael Slugocki, Allison B. Sekuler, Patrick Bennett · 2018 · Vision Research
72. Neural responses to dynamic adaptation reveal the dissociation between the processing of the shape of contours and textures
    Damien Wright, Benjamin R. Dering, Jasna Martinović, Elena Gheorghiu · 2020 · Cortex
73. Constant curvature modeling of abstract shape representation
    Nicholas Baker, Philip J. Kellman · 2021 · PLoS ONE
74. The lemon illusion: seeing curvature where there is none
    Lars Strother, Kyle W. Killebrew, Gideon Paul Caplovitz · 2015 · Frontiers in Human Neuroscience
75. Neuroscience at Johns Hopkins
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76. Characterization of Functional Multiplicity of an Activation Site by the Interaction Among Neuro-Circuits as Probed by fMRI Responses to Different Stimulus Inputs
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77. A Neurocomputational Approach to Prepositional Phrase Attachment Ambiguity Resolution
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78. Probabilistic models of perceptual features
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79. Fundamentals of color vision II: higher-order color processing
    Karl R. Gegenfurtner, Robert Ennis · 2015 · Cambridge University Press eBooks
80. Visual Perception of Objects
    Andrew H. Bell, Luiz Pessoa, Roger B. H. Tootell, Leslie G. Ungerleider · 2013 · Elsevier eBooks
81. Object Recognition: Physiological and Computational Insights
    Doris Ying Tsao, Charles F. Cadieu, Margaret S. Livingstone · 2010 · Oxford University Press eBooks
82. Author response: Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex
    Sina Tafazoli, Houman Safaai, Gioia De Franceschi, Federica Bianca Rosselli, Walter Vanzella, Margherita Riggi, Federica Buffolo, Stefano Panzeri, Davide Zoccolan · 2017 · eLife
83. Coordinated Response Modulations Enable Flexible Use of Visual Information
    Ramanujan Srinath, Martyna M. Czarnik, Marlene R. Cohen · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
84. Object recognition in primates: what can early visual areas contribute?
    Christian Quaia, Richard J. Krauzlis · 2024 · Frontiers in Behavioral Neuroscience
85. Feature binding is slow: Temporal integration explains apparent ultrafast binding
    Lucija Blaževski, Timo Stein, H. Steven Scholte · 2024 · Journal of Vision
86. Neural Sensitivity to Radial Frequency Patterns in the Visual Cortex of Developing Macaques
    C. L. Rodríguez Deliz, Gerick M. Lee, Brittany N. Bushnell, Najib J. Majaj, J. Anthony Movshon, Lynne Kiorpes · 2025 · Journal of Neuroscience
87. A feed-forward spiking model of shape-coding by IT cells
    August Romeo A, Hans Supèr · 2014 · Frontiers in Psychology
88. Layer-Specific Characteristics of Artificial Representations in the Trained AlexNet Model
    Kazuma Ito, Akinori Hidaka, Nobuhiko Wagatsuma · 2023 · International Conference on Emerging Techniques in Computational Intelligence (ICETCI)
89. Local contour features contribute to figure-ground segregation in monkey V4 neural populations and human perception
    Motofumi Shishikura, Itsuki Machida, Hiroshi Tamura, Kô Sakai · 2024 · Neural Networks
90. Shape partitioning interacts with global shape integration
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91. Models of the Visual Cortex for Object Representation: Learning and Wired Approaches
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92. Detection and recognition of angular frequency patterns
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93. Serial versus parallel processing in mid-level vision: filling-in the details of spatial interpolation
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94. On Decoding Grid Cell Population Codes Using Approximate Belief Propagation
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95. Familiarization: A theory of repetition suppression predicts interference between overlapping cortical representations
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96. Scotopic contour and shape discrimination using radial frequency patterns
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97. Toward a more biologically plausible model of object recognition
    Minjoon Kouh · 2007 · DSpace@MIT (Massachusetts Institute of Technology)
98. COMPUTATIONAL MODELS RELATING PROPERTIES OF VISUAL NEURONS TO NATURAL STIMULUS STATISTICS
    Jarmo Hurri · 2003 · Aaltodoc (Aalto University)
99. Expectation-dependent stimulus selectivity in the ventral visual cortical pathway
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100. How shape information is coded by V4 cortical response of macaque monkey
     Meilan Liu, Shanshan Chang, Meixuan Chen, Peichao Li, Anna Wang Roe, Jiaming Hu · 2025 · Journal of Neurophysiology