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Identifying natural images from human brain activity

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Cited by:

  1. Agustin Lage-Castellanos & Giancarlo Valente & Elia Formisano & Federico De Martino, 2019. "Methods for computing the maximum performance of computational models of fMRI responses," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-25, March.
  2. Kay H Brodersen & Thomas M Schofield & Alexander P Leff & Cheng Soon Ong & Ekaterina I Lomakina & Joachim M Buhmann & Klaas E Stephan, 2011. "Generative Embedding for Model-Based Classification of fMRI Data," PLOS Computational Biology, Public Library of Science, vol. 7(6), pages 1-19, June.
  3. Raheel Zafar & Sarat C Dass & Aamir Saeed Malik, 2017. "Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-23, May.
  4. repec:plo:pcbi00:1004927 is not listed on IDEAS
  5. Marcel Adam Just & Vladimir L Cherkassky & Augusto Buchweitz & Timothy A Keller & Tom M Mitchell, 2014. "Identifying Autism from Neural Representations of Social Interactions: Neurocognitive Markers of Autism," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-22, December.
  6. Jiacheng Zhang & Haolan Zhang, 2025. "Towards Human-like Artificial Intelligence: A Review of Anthropomorphic Computing in AI and Future Trends," Mathematics, MDPI, vol. 13(13), pages 1-49, June.
  7. Ghislain St-Yves & Emily J. Allen & Yihan Wu & Kendrick Kay & Thomas Naselaris, 2023. "Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  8. Oliver Contier & Chris I. Baker & Martin N. Hebart, 2024. "Distributed representations of behaviour-derived object dimensions in the human visual system," Nature Human Behaviour, Nature, vol. 8(11), pages 2179-2193, November.
  9. Leech, Dennis & Leech, Robert & Simmonds, Anna, 2009. "Parametric inference for functional information mapping," The Warwick Economics Research Paper Series (TWERPS) 899, University of Warwick, Department of Economics.
  10. Umut Güçlü & Marcel A J van Gerven, 2014. "Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images," PLOS Computational Biology, Public Library of Science, vol. 10(8), pages 1-12, August.
  11. Samy A. Abdel-Ghaffar & Alexander G. Huth & Mark D. Lescroart & Dustin Stansbury & Jack L. Gallant & Sonia J. Bishop, 2024. "Occipital-temporal cortical tuning to semantic and affective features of natural images predicts associated behavioral responses," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
  12. Jacob M. Paul & Martijn Ackooij & Tuomas C. Cate & Ben M. Harvey, 2022. "Numerosity tuning in human association cortices and local image contrast representations in early visual cortex," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  13. Shinsuke Koyama & Uri Eden & Emery Brown & Robert Kass, 2010. "Bayesian decoding of neural spike trains," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(1), pages 37-59, February.
  14. Tarana Nigam & Caspar M. Schwiedrzik, 2024. "Predictions enable top-down pattern separation in the macaque face-processing hierarchy," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  15. Kiyohito Iigaya & Sanghyun Yi & Iman A. Wahle & Sandy Tanwisuth & Logan Cross & John P. O’Doherty, 2023. "Neural mechanisms underlying the hierarchical construction of perceived aesthetic value," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
  16. Hanzhong Liu & Bin Yu, 2017. "Comments on: High-dimensional simultaneous inference with the bootstrap," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(4), pages 740-750, December.
  17. repec:plo:pone00:0020801 is not listed on IDEAS
  18. Yargholi, E. & Hossein-Zadeh, G.-A., 2019. "Cross recurrence quantifiers as new connectivity measures for structure learning of Bayesian networks in brain decoding," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 263-274.
  19. Jörn Diedrichsen & Nikolaus Kriegeskorte, 2017. "Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis," PLOS Computational Biology, Public Library of Science, vol. 13(4), pages 1-33, April.
  20. Guillermo A Cecchi & Lejian Huang & Javeria Ali Hashmi & Marwan Baliki & María V Centeno & Irina Rish & A Vania Apkarian, 2012. "Predictive Dynamics of Human Pain Perception," PLOS Computational Biology, Public Library of Science, vol. 8(10), pages 1-12, October.
  21. Ming Bo Cai & Nicolas W Schuck & Jonathan W Pillow & Yael Niv, 2019. "Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias," PLOS Computational Biology, Public Library of Science, vol. 15(5), pages 1-30, May.
  22. Lauren L Emberson & Benjamin D Zinszer & Rajeev D S Raizada & Richard N Aslin, 2017. "Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-23, April.
  23. Zvi N. Roth & Kendrick Kay & Elisha P. Merriam, 2022. "Natural scene sampling reveals reliable coarse-scale orientation tuning in human V1," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
  24. Hamed Nili & Cai Wingfield & Alexander Walther & Li Su & William Marslen-Wilson & Nikolaus Kriegeskorte, 2014. "A Toolbox for Representational Similarity Analysis," PLOS Computational Biology, Public Library of Science, vol. 10(4), pages 1-11, April.
  25. Hamed Nili & Alexander Walther & Arjen Alink & Nikolaus Kriegeskorte, 2020. "Inferring exemplar discriminability in brain representations," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.
  26. Johannes Haushofer & Margaret S Livingstone & Nancy Kanwisher, 2008. "Multivariate Patterns in Object-Selective Cortex Dissociate Perceptual and Physical Shape Similarity," PLOS Biology, Public Library of Science, vol. 6(7), pages 1-9, July.
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