IDEAS home Printed from https://ideas.repec.org/r/nat/nature/v390y1997i6657d10.1038_36846.html
   My bibliography  Save this item

The capacity of visual working memory for features and conjunctions

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Jeanne Hagenbach & Rachel Kranton, 2023. "Competition, Cooperation, and Motivated Social Perceptions," SciencePo Working papers Main hal-03792554, HAL.
  2. Igor Utochkin, 2013. "Conjunctions can guide attention through visual search," HSE Working papers WP BRP 13/PSY/2013, National Research University Higher School of Economics.
  3. Ken McAnally & Russell Martin, 2016. "Modelling Visual Change Detection and Identification under Free Viewing Conditions," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-16, February.
  4. Juan Linde-Domingo & Bernhard Spitzer, 2024. "Geometry of visuospatial working memory information in miniature gaze patterns," Nature Human Behaviour, Nature, vol. 8(2), pages 336-348, February.
  5. Dmitry Kit & Leor Katz & Brian Sullivan & Kat Snyder & Dana Ballard & Mary Hayhoe, 2014. "Eye Movements, Visual Search and Scene Memory, in an Immersive Virtual Environment," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-11, April.
  6. Hongwei Tan & Sebastiaan van Dijken, 2023. "Dynamic machine vision with retinomorphic photomemristor-reservoir computing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
  7. Igor S. Utochkin & Vladislav A. Khvostov & Yulia M. Stakina, 2017. "Ensemble-Based Segmentation in the Perception of Multiple Feature Conjunctions," HSE Working papers WP BRP 78/PSY/2017, National Research University Higher School of Economics.
  8. Robert W. Faff & Sebastian Kernbach, 2021. "A visualisation approach for pitching research," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(4), pages 5177-5197, December.
  9. Shaiyan Keshvari & Ronald van den Berg & Wei Ji Ma, 2012. "Probabilistic Computation in Human Perception under Variability in Encoding Precision," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-9, June.
  10. Yuri A. Markov & Natalia A. Tiurina & Igor S. Utochkin, 2018. "Different features are stored independently in visual working memory but mediated by object-based representations," HSE Working papers WP BRP 101/PSY/2018, National Research University Higher School of Economics.
  11. Yoni Pertzov & Mia Yuan Dong & Muy-Cheng Peich & Masud Husain, 2012. "Forgetting What Was Where: The Fragility of Object-Location Binding," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-12, October.
  12. Clark, Cameron M. & Lawlor-Savage, Linette & Goghari, Vina M., 2017. "Comparing brain activations associated with working memory and fluid intelligence," Intelligence, Elsevier, vol. 63(C), pages 66-77.
  13. Haggar Cohen-Dallal & Isaac Fradkin & Yoni Pertzov, 2018. "Are stronger memories forgotten more slowly? No evidence that memory strength influences the rate of forgetting," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-18, July.
  14. Jifan Zhou & Jun Yin & Tong Chen & Xiaowei Ding & Zaifeng Gao & Mowei Shen, 2011. "Visual Working Memory Capacity Does Not Modulate the Feature-Based Information Filtering in Visual Working Memory," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-10, September.
  15. Shaiyan Keshvari & Ronald van den Berg & Wei Ji Ma, 2013. "No Evidence for an Item Limit in Change Detection," PLOS Computational Biology, Public Library of Science, vol. 9(2), pages 1-9, February.
  16. Ting Guo & Yanna Ren & Yinghua Yu & Yiyang Yu & Yuuki Hasegawa & Qiong Wu & Jiajia Yang & Satoshi Takahashi & Yoshimichi Ejima & Jinglong Wu, 2021. "Improving Visual Working Memory With Training on a Tactile Orientation Sequence Task in Humans," SAGE Open, , vol. 11(3), pages 21582440211, July.
  17. Nathaniel J. S. Ashby & Stephan Dickert & Andreas Glockner, 2012. "Focusing on what you own: Biased information uptake due to ownership," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 7(3), pages 254-267, May.
  18. Ociepka, Michał & Kałamała, Patrycja & Chuderski, Adam, 2022. "High individual alpha frequency brains run fast, but it does not make them smart," Intelligence, Elsevier, vol. 92(C).
  19. Gregor Hardiess & Kai Basten & Hanspeter A Mallot, 2011. "Acquisition vs. Memorization Trade-Offs Are Modulated by Walking Distance and Pattern Complexity in a Large-Scale Copying Paradigm," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-11, April.
  20. Jeanne Hagenbach & Rachel Kranton, 2023. "Competition, Cooperation, and Motivated Social Perceptions," Working Papers hal-03792554, HAL.
  21. Bin Zhu & Stephanie A. Watts, 2010. "Visualization of Network Concepts: The Impact of Working Memory Capacity Differences," Information Systems Research, INFORMS, vol. 21(2), pages 327-344, June.
  22. Jochen Ranger & Jörg-Tobias Kuhn, 2015. "Modeling Information Accumulation in Psychological Tests Using Item Response Times," Journal of Educational and Behavioral Statistics, , vol. 40(3), pages 274-306, June.
  23. Pais, Miguel Pessanha & Cabral, Henrique N., 2017. "Fish behaviour effects on the accuracy and precision of underwater visual census surveys. A virtual ecologist approach using an individual-based model," Ecological Modelling, Elsevier, vol. 346(C), pages 58-69.
  24. Yingtao Fu & Tingyu Guo & Jiewei Zheng & Jie He & Mowei Shen & Hui Chen, 2024. "Children exhibit superior memory for attended but outdated information compared to adults," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
  25. S. Cerreia-Vioglio & F. Maccheroni & M. Marinacci & A. Rustichini, 2017. "Multinomial logit processes and preference discovery: inside and outside the black box," Working Papers 615, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  26. Haoru Li & Jinliang Xu & Xiaodong Zhang & Fangchen Ma, 2021. "How Do Subway Signs Affect Pedestrians’ Wayfinding Behavior through Visual Short-Term Memory?," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
  27. Krieger, Florian & Zimmer, Hubert D. & Greiff, Samuel & Spinath, Frank M. & Becker, Nicolas, 2019. "Why are difficult figural matrices hard to solve? The role of selective encoding and working memory capacity," Intelligence, Elsevier, vol. 72(C), pages 35-48.
  28. Jastrzębski, Jan & Ciechanowska, Iwona & Chuderski, Adam, 2018. "The strong link between fluid intelligence and working memory cannot be explained away by strategy use," Intelligence, Elsevier, vol. 66(C), pages 44-53.
  29. Hauke S Meyerhoff & Nina A Gehrer, 2017. "Visuo-perceptual capabilities predict sensitivity for coinciding auditory and visual transients in multi-element displays," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-11, September.
  30. Tullo, Domenico & Faubert, Jocelyn & Bertone, Armando, 2018. "The characterization of attention resource capacity and its relationship with fluid reasoning intelligence: A multiple object tracking study," Intelligence, Elsevier, vol. 69(C), pages 158-168.
  31. Jack Phu & Michael Kalloniatis & Sieu K Khuu, 2016. "The Effect of Attentional Cueing and Spatial Uncertainty in Visual Field Testing," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-18, March.
  32. D. Alexander Varakin & Jamie Hale, 2014. "Intentional Memory Instructions Direct Attention But Do Not Enhance Visual Memory," SAGE Open, , vol. 4(4), pages 21582440145, October.
  33. Loic Matthey & Paul M Bays & Peter Dayan, 2015. "A Probabilistic Palimpsest Model of Visual Short-term Memory," PLOS Computational Biology, Public Library of Science, vol. 11(1), pages 1-34, January.
  34. Jochen Ranger & Jörg-Tobias Kuhn, 2013. "Analyzing Response Times in Tests With Rank Correlation Approaches," Journal of Educational and Behavioral Statistics, , vol. 38(1), pages 61-80, February.
  35. repec:cup:judgdm:v:7:y:2012:i:3:p:254-267 is not listed on IDEAS
  36. Jochen Ranger & Jorg-Tobias Kuhn, 2012. "A flexible latent trait model for response times in tests," Psychometrika, Springer;The Psychometric Society, vol. 77(1), pages 31-47, January.
  37. J David Timm & Frank Papenmeier, 2019. "Reorganization of spatial configurations in visual working memory: A matter of set size?," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-16, November.
  38. Lior Fink & Daniele Papismedov, 2023. "On the Same Page? What Users Benefit from a Desktop View on Mobile Devices," Information Systems Research, INFORMS, vol. 34(2), pages 423-441, June.
  39. Malul, Miki & Rosenboim, Mosi & Shapira, Daniel, 2021. "Are Very High Salaries Necessary for Achieving Economic Efficiency?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
  40. Li, Qian & Huang, Zhuowei (Joy) & Christianson, Kiel, 2016. "Visual attention toward tourism photographs with text: An eye-tracking study," Tourism Management, Elsevier, vol. 54(C), pages 243-258.
  41. Mohammad Zia Ul Haq Katshu & Giovanni d'Avossa, 2014. "Fine-Grained, Local Maps and Coarse, Global Representations Support Human Spatial Working Memory," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-13, September.
  42. Yuri A. Markov & Igor S. Utochkin, 2017. "The Effect of Object Distinctiveness on Object-Location Binding in Visual Working Memory," HSE Working papers WP BRP 79/PSY/2017, National Research University Higher School of Economics.
  43. Eline R. Kupers & Insub Kim & Kalanit Grill-Spector, 2024. "Rethinking simultaneous suppression in visual cortex via compressive spatiotemporal population receptive fields," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
  44. Scharfen, Jana & Peters, Judith Marie & Holling, Heinz, 2018. "Retest effects in cognitive ability tests: A meta-analysis," Intelligence, Elsevier, vol. 67(C), pages 44-66.
  45. Pahor, Anja & Jaušovec, Norbert, 2017. "Multifaceted pattern of neural efficiency in working memory capacity," Intelligence, Elsevier, vol. 65(C), pages 23-34.
  46. Carlo Baldassi & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Marco Pirazzini, 2020. "A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure," Management Science, INFORMS, vol. 66(11), pages 5075-5093, November.
  47. Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci, 2020. "Multinomial logit processes and preference discovery: outside and inside the black box," Working Papers 663, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  48. Aki Kondo & Jun Saiki, 2012. "Feature-Specific Encoding Flexibility in Visual Working Memory," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.