Complex objects are represented in macaque inferotemporal cortex by the combination of feature columns

Tsunoda, Kazushige, Yamane, Yukako, Nishizaki, Makoto, Tanifuji, Manabu·2001·Nature Neuroscience

Cited by (359)

Items 201–300 of 359

  1. Learning Hierarchical Representations of Object Categories for Robot Vision
    Aleš Leonardis, Sanja Fidler · 2010 · Springer tracts in advanced robotics
  2. Microanatomy in 21 day rat brains exposed prenatally to cocaine
    Daniel P. Buxhoeveden, Ulla Hasselrot, Nicole Buxhoeveden, Rosemarie M. Booze, Charles F. Mactutus · 2006 · International Journal of Developmental Neuroscience
  3. Experience-driven formation of parts-based representations in a model of layered visual memory
    Jenia Jitsev · 2009 · Frontiers in Computational Neuroscience
  4. Sound frequency representation in cat auditory cortex
    Vassiliy Tsytsarev, Tadashi Yamazaki, Jérôme Ribot, Shigeru Tanaka · 2004 · NeuroImage
  5. Feature-based attention modulates the perception of object contours
    Boge Stojanoski, Matthias Niemeier · 2007 · Journal of Vision
  6. A synergistic view of autonomous cognitive systems
    Ali A. Minai, Mithun C. Perdoor, Kiran V. Byadarhaly, Suresh Vasa, Laxmi Iyer · 2010 · International Joint Conference on Neural Networks (IJCNN)
  7. On the Natural Hierarchical Composition of Cliques in Cell Assemblies
    Thomas Wennekers · 2009 · Cognitive Computation
  8. Modelling human attention and emotions
    John G. Taylor, N. Fragopanagos · 2005 · International Joint Conference on Neural Networks (IJCNN)
  9. Tuning and spontaneous spike time synchrony share a common structure in macaque inferior temporal cortex
    Chia-pei Lin, Yueh-peng Chen, Chou Po Hung · 2014 · Journal of Neurophysiology
  10. Learning selective top-down control enhances performance in a visual categorization task
    Mario Pannunzi, Guido Gigante, Maurizio Mattia, Gustavo Deco, Stefano Fusi, Paolo Del Giudice · 2012 · Journal of Neurophysiology
  11. What do across-subject analyses really tell us about neural coding?
    Fernando Ramírez, Cambria Revsine, Elisha P. Merriam · 2020 · Neuropsychologia
  12. Robust fusion using boosting and transduction for component-based face recognition
    Fayin Li, Harry L. Wechsler, Massimo Tistarelli A · 2008 · International Conference on Control, Automation, Robotics and Vision (ICARCV)
  13. A Comparison of Features in Parts-Based Object Recognition Hierarchies
    Stephan Hasler, Heiko Wersing, Edgar Körner · 2007 · Lecture notes in computer science
  14. A roadmap to a columnar visual cortical prosthetic
    Anna Wang Roe, Gang Chen, Augix Guohua Xu, Jiaming Hu · 2020 · Current Opinion in Physiology
  15. Temporal Coherence: A Versatile Code for the Definition of Relations
    Wolf Singer · 2008 · Elsevier eBooks
  16. Different analysis solutions for different spatial resolutions? Moving towards a mesoscopic mapping of functional architecture in the human brain
    Andreas K. Kleinschmidt · 2007 · NeuroImage
  17. Body Perception
    Béatrice de Gelder, Aline W. de Borst · 2015 · Elsevier eBooks
  18. Selective Tuning: Feature Binding Through Selective Attention
    Albert L. Rothenstein, John K. Tsotsos · 2006 · Lecture notes in computer science
  19. Relationship between functional structures and horizontal connections in macaque inferior temporal cortex
    Danling Hu, Takayuki Sato, Kathleen S. Rockland, Manabu Tanifuji, Hisashi Tanigawa · 2025 · Scientific Reports
  20. 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
  21. The importance of visual features in generic vs. specialized object recognition: a computational study
    Masoud Ghodrati, Karim Rajaei, Reza Ebrahimpour · 2014 · Frontiers in Computational Neuroscience
  22. Impairment of perceptual closure in autism for vertex- but not edge-defined object images
    Mohammad‐Reza A. Dehaqani, Mehdi Alizadeh Zarei, Abdol‐Hossein Vahabie, Hossein Esteky · 2016 · Journal of Vision
  23. Mechanisms for shaping receptive field in monkey area TE
    Keitaro Obara, Kazunori O’Hashi, Manabu Tanifuji · 2017 · Journal of Neurophysiology
  24. The Cognitive Philosophy of Reflection
    Andreas Stephens, Trond A. Tjøstheim · 2020 · Erkenntnis
  25. Neural construction of 3D medial axis from the binocular fusion of 2D MAs
    Wei Qiu, Yasuhiro Hatori, Kô Sakai · 2014 · Neurocomputing
  26. Facial Communicative Signals
    Christian Lang, Sven Wachsmuth, Marc Hanheide, Heiko Wersing · 2012 · International Journal of Social Robotics
  27. A brain-like computer for cognitive software applications: the Ersatz Brain project
    J.A. Anderson · 2005 · IEEE International Conference on Cognitive Informatics
  28. A cortex-inspired neural-symbolic network for knowledge representation
    Florian Röhrbein, Julian P. Eggert, Edgar Körner · 2007
  29. Bio-inspired computational object classification model for object recognition
    Iván Axel Dounce, Luis Adrian Parra, Félix Ramos · 2022 · Cognitive Systems Research
  30. Large-Scale Real-Time Object Identification Based on Analytic Features
    Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Körner · 2009 · Lecture notes in computer science
  31. Theoretical and experimental studies of relationship between pinwheel centers and ocular dominance columns in the visual cortex
    Hayato Nakagama, Toshiki Tani, Shigeru Tanaka · 2006 · Neuroscience Research
  32. Optical filtering removes non-homogenous illumination artifacts in optical imaging
    Andrzej W. Przybyszewski, Takayuki Sato, Mitsuhiro Fukuda · 2007 · Journal of Neuroscience Methods
  33. Robust encoding of scene anticipation during human spatial navigation
    Yumi Shikauchi, Shin Ishii · 2016 · Scientific Reports
  34. Can Contrast-Response Functions Indicate Visual Processing Levels?
    Bruno G. Breitmeyer, Srimant P. Tripathy, James Brown · 2018 · Vision
  35. Voltage-sensitive dye imaging
    Sandrine Chemla, Frédéric Chavane · 2012 · Cambridge University Press eBooks
  36. Voltage-sensitive-dye imaging of microstimulation-evoked neural activity through intracortical horizontal and callosal connections in cat visual cortex
    Jun Suzurikawa, Toshiki Tani, Masayuki Nakao, Shigeru Tanaka, Hirokazu Takahashi · 2009 · Journal of Neural Engineering
  37. Multiple Representation in Primate SI: A View from a Window on the Brain
    Anna Wang Roe, Robert Mark Friedman, Li Min Chen · 2007 · Springer eBooks
  38. Self-organization of globally continuous and locally distributed information representation
    Koji Wada, Koji Kurata, Masato Okada · 2004 · Neural Networks
  39. Beyond the “Conceptual Nervous System”: Can computational cognitive neuroscience transform learning theory?
    Fabián A. Soto · 2019 · Behavioural Processes
  40. Linguistics and face recognition
    Harry Wechsler · 2009 · Journal of Visual Languages & Computing
  41. A deep-learning model-based and data-driven hybrid architecture for image annotation
    Zhiyu Wang, Dingyin Xia, Edward Y. Chang · 2010
  42. Local excitation solutions in one-dimensional neural fields by external input stimuli
    Shigeru Kubota, Kosuke Hamaguchi, Kazuyuki Aihara · 2009 · Neural Computing and Applications
  43. Odor-intensity Coding in the Anterior Piriform Cortex
    Norihiko Onoda · 2005 · Chemical Senses
  44. Visual Processing in the Primate Brain
    Chris Ian Baker · 2012 · Wiley eBooks
  45. 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)
  46. High-density multielectrode array with independently maneuverable electrodes and silicone oil fluid isolation system for chronic recording from macaque monkey
    Naohisa Miyakawa, Noriko Katsumata, David T. Blake, Michael M. Merzenich, Manabu Tanifuji · 2012 · Journal of Neuroscience Methods
  47. Somatosensory: Imaging Tactile Perception
    Li Min Chen, Robert Friedman, Anna Wang Roe · 2009 · Springer eBooks
  48. Object Recognition: Physiological and Computational Insights
    Doris Ying Tsao, Charles F. Cadieu, Margaret S. Livingstone · 2010 · Oxford University Press eBooks
  49. Classification using hierarchical mixture of discriminative learners: How to achieve high scores with few resources?
    Elvis Togban, Djemel Ziou · 2017 · Expert Systems with Applications
  50. Searching for visual features that explain response variance of face neurons in inferior temporal cortex
    Takashi Owaki, Michel J. Vidal-Naquet, Yunjun Nam, Go Uchida, Takayuki Sato, Hideyuki Câteau, Shimon Ullman, Manabu Tanifuji · 2018 · PLoS ONE
  51. Development and Reorganization of Orientation Representation in the Cat Visual Cortex: Experience-Dependent Synaptic Rewiring in Early Life
    Shigeru Tanaka, Masanobu Miyashita, Nodoka Wakabayashi, Kazunori O’Hashi, Toshiki Tani, Jérôme Ribot · 2020 · Frontiers in Neuroinformatics
  52. End-Stopping Predicts Curvature Tuning along the Ventral Stream
    Carlos R. Ponce, Till S. Hartmann, Margaret S. Livingstone · 2017 · Journal of Neuroscience
  53. Self Organisation and Hierarchical Concept Representation in Networks of Spiking Neurons
    Timothy H. Rumbell · 2013 · PEARL (University of Plymouth)
  54. Indexing-Based Pattern Recognition
    А. М. Михайлов · 2011 · Advanced materials research
  55. Simulating Reaction Time for Eureka Effect in Visual Object Recognition Using Artificial Neural Network
    Kazufumi Hosoda, Shigeto Seno, Tsutomu Murata · 2023 · IIAI Letters on Informatics and Interdisciplinary Research
  56. Extraction of Stimulus‐Selective Intrinsic Optical Signals From the Cat Visual Cortex
    Midori Nagai, Gang Wang · 2009 · IEEJ Transactions on Electrical and Electronic Engineering
  57. Tuned solutions in dynamic neural fields as building blocks for extended EEG models
    Thomas Wennekers · 2008 · Cognitive Neurodynamics
  58. Identifying Distributed Object Representations in Human Extrastriate Visual Cortex
    Rory Sayres, David B. Ress, Kalanit Grill-spector A · 2005
  59. A theory of architecture for spatial abstraction
    Juyang Weng · 2009 · IEEE International Conference on Development and Learning (ICDL)
  60. Spatial Distribution of Attentional Modulation at Columnar Resolution in Macaque Area V4
    Hisashi Tanigawa, Gang Chen, Anna Wang Roe · 2016 · Frontiers in Neural Circuits
  61. SHTM: A neocortex-inspired algorithm for one-shot text generation
    Yuwei Wang, Yi Zeng, Bo Xu · 2016 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  62. Familiarization: A theory of repetition suppression predicts interference between overlapping cortical representations
    Giacomo Spigler, Stuart P. Wilson · 2017 · PLoS ONE
  63. Visual and Category Representations Shaped by the Interaction Between Inferior Temporal and Prefrontal Cortices
    Yuki Abe, Kazuhisa Fujita, Yoshiki Kashimori · 2018 · Cognitive Computation
  64. Extracting the Brain-Like Representation by an Improved Self-Organizing Map for Image Classification
    Jiahong Zhang, Lihong Cao, Moning Zhang, Wenlong Fu · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
  65. Stimulus Simplification and Object Representation: A Modeling Study
    Ulf Knoblich, Maximilian Riesenhuber · 2002 · DSpace@MIT (Massachusetts Institute of Technology)
  66. 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
  67. Overview of visual system structure and function
    Nicholas S. C. Price · 2013 · Advances in consciousness research
  68. Temporal mirror-symmetry in functional signals recorded from rat barrel cortex with optical coherence tomography
    Kai‐Shih Chiu, Manabu Tanifuji, Chia‐Wei Sun, Uma Maheswari Rajagopalan, Yu Nakamichi · 2022 · Cerebral Cortex
  69. Perceptual Feature Extraction
    Edward Y. Chang · 2011 · Springer eBooks
  70. Submodality-dependent spatial organization of neurons coding for visual long-term memory in macaque inferior temporal cortex
    Hironori Kasahara, Daigo Takeuchi, Masaki Takeda, Toshiyuki Hirabayashi · 2011 · Brain Research
  71. The Ersatz Brain Project: Neural Inspiration, Cognitive Application
    J.A. Anderson, Paul D. Allopenna · 2006 · International Joint Conference on Neural Networks (IJCNN)
  72. How could populations of neurons encode information?
    Christian Hölscher · 2008 · Cambridge University Press eBooks
  73. Examining high level neural representations of cluttered scenes
    Ethan M. Meyers, Hamdy M. Embark, Winrich A. Freiwald, T. Serre, Gabriel Kreiman, Tomaso Poggio · 2010 · DSpace@MIT (Massachusetts Institute of Technology)
  74. Temporal Coherence: A Versatile Code for the Definition of Relations
    W. Singer · 2020 · Elsevier eBooks
  75. Optical Imaging of Short–Term Working Memory in Prefrontal Cortex of the Macaque Monkey
    Anna Wang Roe · 2009 · Springer eBooks
  76. Representing whole objects: temporal neurons learn to play their parts
    Charles E. Connor · 2002 · Nature Neuroscience
  77. On the difficulty of feature-based attentional modulations in visual object recognition: A modeling study.
    Robert J. Schneider, Maximilian Riesenhuber · 2004 · Defense Technical Information Center (DTIC)
  78. Using the Light Scattering Component of Optical Intrinsic Signals to Visualize In Vivo Functional Structures of Neural Tissues
    Uma Maheswari Rajagopalan, Kazushige Tsunoda, Manabu Tanifuji · 2008 · Methods in molecular biology
  79. The Cerebral Cortex Realizes a Universal Probabilistic Model of Computation in Complex Hilbert Spaces
    C Jones · 2020
  80. Modelling reasoning processes in natural agents: a partial-worlds-based logical framework for elemental non-monotonic inferences and learning
    Christel Grimaud · 2016 · Journal of Applied Non-Classical Logics
  81. A single fast Hebbian-like process enabling one-shot class addition in deep neural networks without backbone modification
    Kazufumi Hosoda, Keigo Nishida, Shigeto Seno, Tomohiro Mashita, Hideki Kashioka, Izumi Ohzawa · 2024 · Frontiers in Neuroscience
  82. Structured interconnectivity optimizes neural geometry for balancing specificity and generalization in object recognition
    Yiyuan Zhang, Jirui Liu, Jia Liu · 2025 · Communications Biology
  83. Visual memory
    Geoffrey Forrest Woodman, Sean Matthew Polyn · 2026 · Attention Perception & Psychophysics
  84. Modeling time to visual insight in Mooney image recognition with a chaotic recurrent neural network
    Misako Kimura, Yuuki Matsushita, Masayo Inoue, Shigeto Seno, Tsutomu Murata, Izumi Ohzawa, Prof. Dr. Toshio Yanagida, Kunihiko Kaneko, Kazufumi Hosoda · 2026 · Cognitive Neurodynamics
  85. On the Storage Capacity of an Abstract Cortical Model with Silent Hypercolumns
    Christopher Johansson, Anders Lansner · 2005
  86. Brain Imaging by Functional Optical Coherence Tomography.
    Uma Maheswari Rajagopalan, Manabu Tanifuji · 2002 · The Review of Laser Engineering
  87. Multineuronal vectorization is more efficient than time-segmental vectorization for information extraction from neuronal activities in the inferior temporal cortex
    Hidekazu Kaneko, Hiroshi Tamura, Shunta Tate, Takahiro Kawashima, Shinya S. Suzuki, Ichiro Fujita · 2010 · Neural Networks
  88. Comments on William Bechtel's “Looking down, around, and up: Mechanistic explanation in psychology”
    Denis Forest · 2009 · Philosophical Psychology
  89. Relationship between inter-stimulus-intervals and intervals of autonomous activities in a neuronal network
    Hidekatsu Ito, Wataru Minoshima, Suguru N. Kudoh · 2015 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  90. The Functional Organization of Monkey Inferotemporal Cortex
    Manabu Tanifuji · 2003 · Frontiers in neuroscience
  91. 5 Individual Representationalism after Mid‐Century: Preliminaries
    Tyler Burge · 2010 · Oxford University Press eBooks
  92. Functional Roles of Yuragi in Biosystems
    Toshio Yanagida, Tsutomu Murata · 2020 · Springer eBooks
  93. Recognition ability of untrained neural networks to symbolic numbers
    Yiwei Zhou, Huanwen Chen, Yijun Wang · 2022 · Frontiers in Neuroinformatics
  94. Functional Maps in Visual Cortex: Topographic, Modular, and Columnar Organizations
    D.J. Felleman · 2008 · Elsevier eBooks
  95. Facilitation of Responses to Degraded Targets by Non-Degraded Distractors
    Brenda Ocampo, Ada Kritikos · 2009 · Perception
  96. From the Perspective of Brain Function ‐ Current Situation and Expectation of Deep Learning and IoT
    Suguru N. Kudoh · 2018 · The Journal of the Institute of Electrical Engineers of Japan
  97. Adaptive Consensus-Based Ensemble for Improved Deep Learning Inference Cost
    Nelly David, Nathan S. Netanyahu · 2021 · Lecture notes in computer science
  98. IDEA—Itinerant Dynamics with Emergent Attractors: A Neural Model for Conceptual Combination
    Ali A. Minai, Laxmi Iyer, Sarjoun Doumit · 2021 · Understanding complex systems
  99. Intrinsic Signal Imaging of Somatosensory Function in Nonhuman Primates
    Anna Wang Roe, L.M. Chen, R.M. Friedman · 2020 · Elsevier eBooks
  100. Reverse engineering object recognition
    David Cox · 2007 · DSpace@MIT (Massachusetts Institute of Technology)