Decoding the visual and subjective contents of the human brain

Kamitani, Yukiyasu, Tong, Frank·2005·Nature Neuroscience
DOI 10.1038/nn1444

Cited by (1,000)

Items 201–300 of 1,000

  1. Mapping the MRI voxel volume in which thermal noise matches physiological noise—implications for fMRI
    Bodurka, J., Ye, F., Petridou, N., Murphy, K., Bandettini, P.A. · 2007 · NeuroImage
  2. Reinstatement of associative memories in early visual cortex is signaled by the hippocampus
    Bosch, Sander E., Jehee, Janneke F. M., Fernández, Guillén, Doeller, Christian F. · 2014 · The Journal of Neuroscience
  3. Multivoxel neurofeedback selectively modulates confidence without changing perceptual performance
    Cortese, Aurelio, Amano, Kaoru, Koizumi, Ai, Kawato, Mitsuo, Lau, Hakwan · 2016 · Nature Communications
  4. Stimulus Selectivity and Spatial Coherence of Gamma Components of the Local Field Potential
    Xiaoxuan Jia, Matthew A. Smith, Adam Kohn · 2011 · Journal of Neuroscience
  5. Multi-voxel coding of stimuli, rules, and responses in human frontoparietal cortex
    Alexandra Woolgar, Russell Thompson, Daniel Bor, John Duncan · 2010 · NeuroImage
  6. Decoding Effector-Dependent and Effector-Independent Movement Intentions from Human Parieto-Frontal Brain Activity
    Jason P. Gallivan, D. Adam McLean, Fraser W. Smith, Jody C. Culham · 2011 · Journal of Neuroscience
  7. Reconstructing faces from fMRI patterns using deep generative neural networks
    Rufin VanRullen, Leila Reddy · 2019 · Communications Biology
  8. Limits to visual representational correspondence between convolutional neural networks and the human brain
    Yaoda Xu, Maryam Vaziri-Pashkam · 2021 · Nature Communications
  9. Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
    Tom Macpherson, Anne K. Churchland, Terry Sejnowski, James J. DiCarlo, Yukiyasu Kamitani, Hidehiko Takahashi, Takatoshi Hikida · 2021 · Neural Networks
  10. Decoding different roles for vmPFC and dlPFC in multi-attribute decision making
    Thorsten Kahnt, Jakob Heinzle, Soyoung Q. Park, John­–Dylan Haynes · 2010 · NeuroImage
  11. Analysis of Multimodal Neuroimaging Data
    Felix Bießmann, Sergey Plis, Frank C. Meinecke, Tom Eichele, Klaus‐Robert Müller · 2011 · IEEE Reviews in Biomedical Engineering
  12. Perceptual Learning Selectively Refines Orientation Representations in Early Visual Cortex
    Janneke F. M. Jehee, Sam Ling, Jascha D. Swisher, Ruben S. van Bergen, Frank Tong · 2012 · Journal of Neuroscience
  13. A distributed fMRI-based signature for the subjective experience of fear
    Zhou, Feng, Zhao, Weihua, Qi, Ziyu, Geng, Yayuan, Yao, Shuxia, Kendrick, Keith M., Wager, Tor D., Becker, Benjamin · 2021 · Nature Communications
  14. Decoding human brain activity during real-world experiences
    Hugo J. Spiers, Eleanor A. Maguire · 2007 · Trends in Cognitive Sciences
  15. Two Distinct Ipsilateral Cortical Representations for Individuated Finger Movements
    Jörn Diedrichsen, Tobias Wiestler, John W. Krakauer · 2012 · Cerebral Cortex
  16. Disentangling neural representations of value and salience in the human brain
    Thorsten Kahnt, Soyoung Q. Park, John­–Dylan Haynes, Philippe N. Tobler · 2014 · Proceedings of the National Academy of Sciences
  17. Fine-scale activity patterns in high-level visual areas encode the category of invisible objects
    Philipp Sterzer, John­–Dylan Haynes, Geraint E. Rees · 2008 · Journal of Vision
  18. The neural correlates of visual imagery: A co-ordinate-based meta-analysis
    Winlove, Crawford I.P., Milton, Fraser, Ranson, Jake, Fulford, Jon, MacKisack, Matthew, Macpherson, Fiona, Zeman, Adam · 2018 · Cortex
  19. Different Spatial Scales of Shape Similarity Representation in Lateral and Ventral LOC
    Ph.D. Daniel M. Drucker, Geoffrey K. Aguirre · 2009 · Cerebral Cortex
  20. A neuromarker for drug and food craving distinguishes drug users from non-users
    Leonie Koban, Tor Dessart Wager, Hedy Kober A · 2022 · Nature Neuroscience
  21. Where One Hand Meets the Other: Limb-Specific and Action-Dependent Movement Plans Decoded from Preparatory Signals in Single Human Frontoparietal Brain Areas
    Jason P. Gallivan, D. Adam McLean, John Randall Flanagan, Jody C. Culham · 2013 · Journal of Neuroscience
  22. Transformation from image-based to perceptual representation of materials along the human ventral visual pathway
    Chihiro Hiramatsu, Naokazu Goda, Hidehiko Komatsu · 2011 · NeuroImage
  23. Within-Digit Functional Parcellation of Brodmann Areas of the Human Primary Somatosensory Cortex Using Functional Magnetic Resonance Imaging at 7 Tesla
    Rosa-Maria Sánchez-Panchuelo, Julien Besle, Alexander J. S. Beckett, Richard W Bowtell, Denis Schluppeck, Susan Francis · 2012 · Journal of Neuroscience
  24. Decoding the Brain: Neural Representation and the Limits of Multivariate Pattern Analysis in Cognitive Neuroscience
    J. Brendan Ritchie, David Michael Kaplan, Colin Klein · 2017 · The British Journal for the Philosophy of Science
  25. fMRI and its interpretations: an illustration on directional selectivity in area V5/MT
    Andreas Bartels, Nikos K. Logothetis, Konstantinos Moutoussis · 2008 · Trends in Neurosciences
  26. Development of visual category selectivity in ventral visual cortex does not require visual experience
    Job van den Hurk, Marc Van Baelen, Hans Op de Beeck · 2017 · Proceedings of the National Academy of Sciences
  27. Multivoxel fMRI analysis of color tuning in human primary visual cortex
    Laura M. Parkes, Jan-Bernard Marsman, David Oxley, John Yannis Goulermas, Sophie M. Wuerger · 2009 · Journal of Vision
  28. The effects of day-to-day variability of physiological data on operator functional state classification
    Christensen, James C., Estepp, Justin R., Wilson, Glenn F., Russell, Christopher A. · 2012 · NeuroImage
  29. Attentional amplification of neural codes for number independent of other quantities along the dorsal visual stream
    Elisa Castaldi, Manuela Piazza A, Stanislas Dehaene, Alexandre Vignaud, Evelyn Eger · 2019 · eLife
  30. Natural scene reconstruction from fMRI signals using generative latent diffusion
    Furkan Özçelik, Rufin VanRullen · 2023 · Scientific Reports
  31. A Common Neural Code for Perceived and Inferred Emotion
    Amy E. Skerry, Rebecca R. Saxe · 2014 · Journal of Neuroscience
  32. Brain-Computer Interface Based on Generation of Visual Images
    Бобров Павел Дмитриевич, Alexander Frolov, Charles R. Cantor, Irina Fedulova, M. K. Bakhnyan, Alex A. Zhavoronkov · 2011 · PLoS ONE
  33. Higher Level Visual Cortex Represents Retinotopic, Not Spatiotopic, Object Location
    Julie D. Golomb, Nancy Kanwisher · 2011 · Cerebral Cortex
  34. Comparative Study of SVM Methods Combined with Voxel Selection for Object Category Classification on fMRI Data
    Sutao Song, Zhichao Zhan, Zhiying Long, Jiacai Zhang, Yao Li · 2011 · PLoS ONE
  35. Compositionality of Rule Representations in Human Prefrontal Cortex
    Carlo Reverberi, Kai Görgen, John­–Dylan Haynes · 2011 · Cerebral Cortex
  36. Selection and Maintenance of Spatial Information by Frontal Eye Field Neurons
    Katherine M. Armstrong, Mindy H. Chang, Tirin Moore · 2009 · Journal of Neuroscience
  37. Modality-Independent Decoding of Semantic Information from the Human Brain
    Simanova, Irina, Hagoort, Peter, Oostenveld, Robert, van Gerven, Marcel A. J. · 2014 · Cerebral Cortex
  38. Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning
    Elia Formisano, Federico De Martino, Giancarlo Valente · 2008 · Magnetic Resonance Imaging
  39. Attention and visual perception
    Geoffrey M. Boynton · 2005 · Current Opinion in Neurobiology
  40. Neuroimaging-based biomarkers for pain: state of the field and current directions
    Maite M. van der Miesen, Martin A. Lindquist, Tor Dessart Wager · 2019 · PAIN Reports
  41. Mental Imagery Changes Multisensory Perception
    Christopher C. Berger, H. Henrik Ehrsson · 2013 · Current Biology
  42. Executed and Observed Movements Have Different Distributed Representations in Human aIPS
    Ilan Dinstein, Justin L. Gardner, Mehrdad Jazayeri, David J. Heeger · 2008 · Journal of Neuroscience
  43. Which “neural activity” do you mean? fMRI, MEG, oscillations and neurotransmitters
    Krish D. Singh · 2012 · NeuroImage
  44. Total Variation Regularization for fMRI-Based Prediction of Behavior
    V. Michel, Alexandre Gramfort, Gael P. Varoquaux, Evelyn Eger, Bertrand Thirion · 2011 · IEEE Transactions on Medical Imaging
  45. Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
    Changde Du, Kaicheng Fu, Jinpeng Li, Huiguang He · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  46. Regulation of Motor Representation by Phase–Amplitude Coupling in the Sensorimotor Cortex
    Takufumi Yanagisawa, Okito Yamashita, Masayuki Hirata, Haruhiko Kishima, Youichi Saitoh, Tetsu Goto, Toshiki Yoshimine, Yukiyasu Kamitani · 2012 · Journal of Neuroscience
  47. Reading and controlling human brain activation using real-time functional magnetic resonance imaging
    R. Christopher deCharms · 2007 · Trends in Cognitive Sciences
  48. Attention Sharpens the Distinction between Expected and Unexpected Percepts in the Visual Brain
    Jiang, Jiefeng, Summerfield, Christopher, Egner, Tobias · 2013 · The Journal of Neuroscience
  49. Progress in machine consciousness
    David Gamez · 2007 · Consciousness and Cognition
  50. Is neuroimaging measuring information in the brain?
    Lee de‐Wit, David M. Alexander, Vebjørn Ekroll, Johan P. Wagemans · 2016 · Psychonomic Bulletin & Review
  51. Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers
    Takashi Yamada, Ryuichiro Hashimoto, Noriaki Yahata, Naho Ichikawa, Yujiro Yoshihara, Yasumasa Okamoto, Nobumasa Kato, Hidehiko Takahashi, Mitsuo Kawato · 2017 · The International Journal of Neuropsychopharmacology
  52. Measuring neural representations with fMRI: practices and pitfalls
    Davis, Tyler, Poldrack, Russell A. · 2013 · Annals of the New York Academy of Sciences
  53. Imagery and visual working memory: one and the same?
    Frank Tong · 2013 · Trends in Cognitive Sciences
  54. Linear reconstruction of perceived images from human brain activity
    Sanne Schoenmakers, Markus Barth, Tom Heskes, Marcel A. J. van Gerven · 2013 · NeuroImage
  55. Mirror neurons: Functions, mechanisms and models
    Erhan Öztop, Mitsuo Kawato, Michael A. Arbib · 2012 · Neuroscience Letters
  56. Imagined and Executed Actions in the Human Motor System: Testing Neural Similarity Between Execution and Imagery of Actions with a Multivariate Approach
    Adam Zabicki, Benjamin de Haas, Karen Zentgraf, Rudolf M. Stark, Jörn Munzert, Britta Krüger · 2016 · Cerebral Cortex
  57. Flexible Coding for Categorical Decisions in the Human Brain
    Sheng Li, Dirk Ostwald, Martin A. Giese, Zoe Kourtzi · 2007 · Journal of Neuroscience
  58. A framework for describing the effects of attention on visual responses
    Geoffrey M. Boynton · 2008 · Vision Research
  59. Neural Specificity Predicts Fluid Processing Ability in Older Adults
    Jeong Mi Park, Joshua Carp, Andrew C. Hebrank, D. C. Park, Thad A. Polk · 2010 · Journal of Neuroscience
  60. Beyond Functional Connectivity: Investigating Networks of Multivariate Representations
    Stefano Anzellotti, Marc N. Coutanche · 2018 · Trends in Cognitive Sciences
  61. Decoding and reconstructing color from responses in human visual cortex
    Gijs Joost Brouwer, David J. Heeger · 2010 · Journal of Vision
  62. Encoding the identity and location of objects in human LOC
    Radoslaw Martin Cichy, Yi Chen, John­–Dylan Haynes · 2010 · NeuroImage
  63. Attention gates visual coding in the human pulvinar
    Fischer, Jason, Whitney, David · 2012 · Nature Communications
  64. Neural Representations of Individual Stimuli in Humans Revealed by Gamma-Band Electrocorticographic Activity
    Joshua Jacobs, Michael J. Kahana · 2009 · Journal of Neuroscience
  65. Category-Specific Visual Responses: An Intracranial Study Comparing Gamma, Beta, Alpha, and ERP Response Selectivity
    Juan R. Vidal, Tomás Ossandón, Karim Jerbi, Sarang S. Dalal, Lorella Minotti, Philippe Ryvlin, Philippe Kahane, J.-P. Lachaux · 2010 · Frontiers in Human Neuroscience
  66. The Coding of Color, Motion, and Their Conjunction in the Human Visual Cortex
    Kiley J. Seymour, Colin W. G. Clifford, Nikos K. Logothetis, Andreas Bartels · 2009 · Current Biology
  67. Correspondences between retinotopic areas and myelin maps in human visual cortex
    Abdollahi, Rouhollah O., Kolster, Hauke, Glasser, Matthew F., Robinson, Emma C., Coalson, Timothy S., Dierker, Donna, Jenkinson, Mark, Van Essen, David C., Orban, Guy A. · 2014 · NeuroImage
  68. Analysis strategies for high-resolution UHF-fMRI data
    Jon̈athan R. Polimeni, Ville Renvall, Natalia Zaretskaya, Bruce R. Fischl · 2017 · NeuroImage
  69. Estimating the influence of attention on population codes in human visual cortex using voxel-based tuning functions
    John T. Serences, Sameer Saproo, Miranda Scolari, Tiffany Cheing Ho, L. Tugan Muftuler · 2008 · NeuroImage
  70. Spatial smoothing hurts localization but not information: Pitfalls for brain mappers
    Kamitani, Yukiyasu, Sawahata, Yasuhito · 2010 · NeuroImage
  71. Default mode network connectivity distinguishes chemotherapy-treated breast cancer survivors from controls
    Shelli R. Kesler, Jeffrey Scott Wefel, S. M. Hadi Hosseini, Maria A. Cheung, Christa Watson, Fumiko Hoeft · 2013 · Proceedings of the National Academy of Sciences
  72. Inter-ocular contrast normalization in human visual cortex
    Farshad Moradi, David J. Heeger · 2009 · Journal of Vision
  73. Distinct cortical codes and temporal dynamics for conscious and unconscious percepts
    Salti, Moti, Monto, Simo, Charles, Lucie, King, Jean-Remi, Parkkonen, Lauri, Dehaene, Stanislas · 2015 · eLife
  74. On the partnership between neural representations of object categories and visual features in the ventral visual pathway
    Stefania Bracci, J. Brendan Ritchie, Hans Op de Beeck · 2017 · Neuropsychologia
  75. The impact of ultra-high field MRI on cognitive and computational neuroimaging
    Federico De Martino, Essa S. Yacoub, Valentin G. Kemper, Michelle Moerel, Kâmil Uludaǧ, Peter De Weerd, Kǎmil Uǧurbil, Rainer Goebel, Elia Formisano · 2017 · NeuroImage
  76. Prior object-knowledge sharpens properties of early visual feature-detectors
    Teufel, Christoph, Dakin, Steven C., Fletcher, Paul C. · 2018 · Scientific Reports
  77. Decoding the Representation of Multiple Simultaneous Objects in Human Occipitotemporal Cortex
    Sean P. MacEvoy, Russell A. Epstein · 2009 · Current Biology
  78. Multivariate cross-classification: applying machine learning techniques to characterize abstraction in neural representations
    Jonas Kaplan, Kingson Man, Steven G. Greening · 2015 · Frontiers in Human Neuroscience
  79. Seeing Touch Is Correlated with Content-Specific Activity in Primary Somatosensory Cortex
    Kaspar Meyer, Jonas Kaplan, Ryan Essex, Hanna Damásio, António R. Damásio · 2011 · Cerebral Cortex
  80. The neural correlates of ongoing conscious thought
    Jonathan Smallwood, Adam G. Turnbull, Hao-Ting Wang, Nerissa Siu Ping Ho, Giulia Lara Poerio, Theodoros Karapanagiotidis, Delali Konu, Brontë Mckeown, Meichao Zhang, Charlotte Murphy et al. · 2021 · iScience
  81. Channel surfing in the visual brain
    Paul T. Sowden, Philippe G. Schyns · 2006 · Trends in Cognitive Sciences
  82. Recognition Alters the Spatial Pattern of fMRI Activation in Early Retinotopic Cortex
    Hsieh, P.-J., Vul, E., Kanwisher, N. · 2010 · Journal of Neurophysiology
  83. Mirror neuron system
    Rajmohan Velayudhan, Edakkunni Mohandas · 2007 · Indian Journal of Psychiatry
  84. The effect of spatial resolution on decoding accuracy in fMRI multivariate pattern analysis
    Anna Gardumi, Dimo Ivanov, Lars Gutschalk Hausfeld, Giancarlo Valente, Elia Formisano, Kâmil Uludaǧ · 2016 · NeuroImage
  85. Functional MRI Can Be Highly Reliable, but It Depends on What You Measure: A Commentary on Elliott et al. (2020)
    Philip A. Kragel, Xiaochun Han, Thomas E. Kraynak, Peter J. Gianaros, Tor Dessart Wager · 2021 · Psychological Science
  86. Representation of Object Weight in Human Ventral Visual Cortex
    Jason P. Gallivan, Jonathan S. Cant, Melvyn Alan Goodale, John Randall Flanagan · 2014 · Current Biology
  87. The integration of motion and disparity cues to depth in dorsal visual cortex
    Hiroshi Ban, Tim J. Preston, Alan Meeson, Andrew E. Welchman · 2012 · Nature Neuroscience
  88. Learning a common dictionary for subject-transfer decoding with resting calibration
    Hiroshi Morioka, Atsunori Kanemura, Jun-ichiro Hirayama, Manabu Shikauchi, Takeshi Ogawa, Shigeyuki Ikeda, Motoaki Kawanabe, Shin Ishii · 2015 · NeuroImage
  89. Near-Real-Time Feature-Selective Modulations in Human Cortex
    Javier O. Garcia, Ramesh Srinivasan, John T. Serences · 2013 · Current Biology
  90. Human premotor areas parse sequences into their spatial and temporal features
    Katja Kornysheva, Jörn Diedrichsen · 2014 · eLife
  91. Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA
    Carsten Allefeld, John­–Dylan Haynes · 2013 · NeuroImage
  92. Predicting vocal emotion expressions from the human brain
    Kotz, Sonja A., Kalberlah, Christian, Bahlmann, Jörg, Friederici, Angela D., Haynes, John‐D. · 2013 · Human Brain Mapping
  93. Current perspectives and methods in studying neural mechanisms of multisensory interactions
    Jane Klemen, Chris Chambers · 2011 · Neuroscience & Biobehavioral Reviews
  94. Understanding face perception by means of prosopagnosia and neuroimaging
    Bruno Rossion · 2014 · Frontiers in Bioscience-Elite
  95. Goal-Directed Visual Processing Differentially Impacts Human Ventral and Dorsal Visual Representations
    Maryam Vaziri-Pashkam, Yaoda Xu A · 2017 · Journal of Neuroscience
  96. Mechanisms underlying decoding at 7 T: ocular dominance columns, broad structures, and macroscopic blood vessels in V1 convey information on the stimulated eye
    Shmuel, Amir, Chaimow, Denis, Raddatz, Guenter, Ugurbil, Kamil, Yacoub, Essa · 2010 · NeuroImage
  97. Distinguishing multi-voxel patterns and mean activation: Why, how, and what does it tell us?
    Coutanche, Marc N. · 2013 · Cognitive, Affective, & Behavioral Neuroscience
  98. The Neural Dynamics of Face Detection in the Wild Revealed by MVPA
    Maxime Cauchoix, Gladys Barragan‐Jason, Thomas Serre, Emmanuel J. Barbeau · 2014 · Journal of Neuroscience
  99. Feature-space selection with banded ridge regression
    Tom Dupré la Tour, Michael Eickenberg, Anwar O. Núñez-Elizalde, Jack L. Gallant · 2022 · NeuroImage
  100. Coding and Binding of Color and Form in Visual Cortex
    Kiley J. Seymour, Colin W. G. Clifford, Nikos K. Logothetis, Andreas Bartels · 2009 · Cerebral Cortex