Visual long-term memory has a massive storage capacity for object details

One of the major lessons of memory research has been that human memory is fallible, imprecise, and subject to interference. Thus, although observers can remember thousands of images, it is widely assumed that these memories lack detail. Contrary to this assumption, here we show that long-term memory is capable of storing a massive number of objects with details from the image. Participants viewed pictures of 2,500 objects over the course of 5.5 h. Afterward, they were shown pairs of images and indicated which of the two they had seen. The previously viewed item could be paired with either an object from a novel category, an object of the same basic-level category, or the same object in a different state or pose. Performance in each of these conditions was remarkably high (92%, 88%, and 87%, respectively), suggesting that participants successfully maintained detailed representations of thousands of images. These results have implications for cognitive models, in which capacity limitations impose a primary computational constraint (e.g., models of object recognition), and pose a challenge to neural models of memory storage and retrieval, which must be able to account for such a large and detailed storage capacity.

[1]  George Sperling,et al.  The information available in brief visual presentations. , 1960 .

[2]  R. Shepard.  Recognition memory for words, sentences, and pictures , 1967 .

[3]  R. Haber,et al.  Perception and memory for pictures: Single-trial learning of 2500 visual stimuli , 1970 .

[4]  L. Standing.  Learning 10000 pictures , 1973 .

[5]  L. Standing.  Learning 10,000 pictures. , 1973, The Quarterly journal of experimental psychology.

[6]  W. A. Phillips.  On the distinction between sensory storage and short-term visual memory , 1974 .

[7]  Allan Collins,et al.  A spreading-activation theory of semantic processing , 1975 .

[8]  J. Fodor.  The Language of Thought , 1980 .

[9]  G. Mandler.  Recognizing: The judgment of previous occurrence. , 1980 .

[10]  J R Anderson,et al.  Retrieval of information from long-term memory. , 1983, Science.

[11]  R. Nosofsky.  Attention, similarity, and the identification-categorization relationship. , 1986, Journal of experimental psychology. General.

[12]  Thomas K. Landauer,et al.  How Much do People Remember? Some Estimates of the Quantity of Learned Information in Long-Term Memory , 1986, Cogn. Sci..

[13]  Eliot R. Smith.  Content and process specificity in the effects of prior experiences , 1990 .

[14]  T. K. Srull,et al.  Content and Process Specificity in the Effects of Prior Experiences , 1990 .

[15]  L. Jacoby.  A process dissociation framework: Separating automatic from intentional uses of memory , 1991 .

[16]  Heinrich H. Bülthoff,et al.  Psychophysical support for a 2D view interpolation theory of object recognition , 1991 .

[17]  J. Hoffman,et al.  Reading and visual memory: remembering scenes that were never seen. , 1992, The American journal of psychology.

[18]  H H Bülthoff,et al.  Psychophysical support for a two-dimensional view interpolation theory of object recognition. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[19]  N. Logothetis,et al.  Shape representation in the inferior temporal cortex of monkeys , 1995, Current Biology.

[20]  Ronald A. Rensink,et al.  TO SEE OR NOT TO SEE: The Need for Attention to Perceive Changes in Scenes , 1997 .

[21]  Y. Dudai.  How big is human memory, or on being just useful enough. , 1997, Learning & memory.

[22]  D. Schacter,et al.  Gist-Based False Recognition of Pictures in Older and Younger Adults , 1997 .

[23]  D. Simons,et al.  CHAPTER 13 – Change Blindness , 2005 .

[24]  Isabel Gauthier,et al.  Three-dimensional object recognition is viewpoint dependent , 1998, Nature Neuroscience.

[25]  Heinrich H Bülthoff,et al.  Image-based object recognition in man, monkey and machine , 1998, Cognition.

[26]  J. Wolfe.  Visual memory: What do you know about what you saw? , 1998, Current Biology.

[27]  S. Kosslyn,et al.  The role of area 17 in visual imagery: convergent evidence from PET and rTMS. , 1999, Science.

[28]  L. Barsalou,et al.  Whither structured representation? , 1999, Behavioral and Brain Sciences.

[29]  T. Poggio,et al.  Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.

[30]  S. Petersen,et al.  Memory's echo: vivid remembering reactivates sensory-specific cortex. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[31]  A. Noë,et al.  A sensorimotor account of vision and visual consciousness. , 2001, The Behavioral and brain sciences.

[32]  N. Sigala,et al.  Visual Categorization and Object Representation in Monkeys and Humans , 2002, Journal of Cognitive Neuroscience.

[33]  A. Yonelinas.  The Nature of Recollection and Familiarity: A Review of 30 Years of Research , 2002 .

[34]  E. Loftus.  Our changeable memories: legal and practical implications , 2003, Nature Reviews Neuroscience.

[35]  M. Chun.  Scene Perception and Memory , 2003 .

[36]  J. Fuster.  More than working memory rides on long-term memory , 2003 .

[37]  S. Hochstein,et al.  The reverse hierarchy theory of visual perceptual learning , 2004, Trends in Cognitive Sciences.

[38]  A. Hollingworth.  Constructing visual representations of natural scenes: the roles of short- and long-term visual memory. , 2004, Journal of experimental psychology. Human perception and performance.

[39]  William R. Marmie,et al.  Memory for common objects: brief intentional study is sufficient to overcome poor recall of US coin features , 2004 .

[40]  H. Christensen.  Cognitive Vision , 2004, The AI Magazine.

[41]  V. Reyna,et al.  The science of false memory , 2005 .

[42]  J. Henderson,et al.  Incidental visual memory for objects in scenes , 2005 .

[43]  D. Schacter,et al.  The neural origins of specific and general memory: the role of the fusiform cortex , 2005, Neuropsychologia.

[44]  J. Fagot,et al.  Evidence for large long-term memory capacities in baboons and pigeons and its implications for learning and the evolution of cognition , 2006, Proceedings of the National Academy of Sciences.

[45]  B. Tatler,et al.  Pictures in Mind: Initial Encoding of Object Properties Varies with the Realism of the Scene Stimulus , 2007, Perception.

[46]  S. Vogt,et al.  Long-term memory for 400 pictures on a common theme. , 2007, Experimental psychology.

[47]  Antonio Torralba,et al.  Ieee Transactions on Pattern Analysis and Machine Intelligence 1 80 Million Tiny Images: a Large Dataset for Non-parametric Object and Scene Recognition , 2022 .

[48]  M Hautekeete,et al.  Visual Memory , 2009, Encyclopedia of Biometrics.

[49]  B. Ross.  The Psychology of Learning and Motivation: Advances in Research and Theory , 2010 .