Discrete fixed-resolution representations in visual working memory

Limits on the storage capacity of working memory significantly affect cognitive abilities in a wide range of domains, but the nature of these capacity limits has been elusive. Some researchers have proposed that working memory stores a limited set of discrete, fixed-resolution representations, whereas others have proposed that working memory consists of a pool of resources that can be allocated flexibly to provide either a small number of high-resolution representations or a large number of low-resolution representations. Here we resolve this controversy by providing independent measures of capacity and resolution. We show that, when presented with more than a few simple objects, human observers store a high-resolution representation of a subset of the objects and retain no information about the others. Memory resolution varied over a narrow range that cannot be explained in terms of a general resource pool but can be well explained by a small set of discrete, fixed-resolution representations.

[1]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[2]  G. A. Miller.  THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[3]  Ralph Roskies,et al.  Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.

[4]  H A Simon,et al.  How Big Is a Chunk? , 1974, Science.

[5]  E. Rosch.  Cognitive reference points , 1975, Cognitive Psychology.

[6]  R. Desimone,et al.  Shape recognition and inferior temporal neurons. , 1983, Proceedings of the National Academy of Sciences of the United States of America.

[7]  E L Schwartz,et al.  Psychophysical Studies of Shape with Fourier Descriptor Stimuli , 1988, Perception.

[8]  R. Frick,et al.  Issues of representation and limited capacity in the visuospatial sketchpad. , 1988, British journal of psychology.

[9]  J. Palmer.  Attentional limits on the perception and memory of visual information. , 1990, Journal of experimental psychology. Human perception and performance.

[10]  N. Fisher,et al.  Statistical Analysis of Circular Data , 1993 .

[11]  J Miller,et al.  Attentional effects on concurrent psychophysical discriminations: Investigations of a sample-size model , 1994, Perception & psychophysics.

[12]  L. Cosmides.  From : The Cognitive Neurosciences , 1995 .

[13]  E. Bizzi,et al.  The Cognitive Neurosciences , 1996 .

[14]  S J Luck,et al.  Mechanisms of visual-spatial attention: resource allocation or uncertainty reduction? , 1996, Journal of experimental psychology. Human perception and performance.

[15]  Brian P. Dyre,et al.  Perceptual similarity of shapes generated from Fourier descriptors. , 1996, Journal of experimental psychology. Human perception and performance.

[16]  Edward K. Vogel,et al.  The capacity of visual working memory for features and conjunctions , 1997, Nature.

[17]  A. Miyake,et al.  Models of Working Memory , 1997 .

[18]  William Prinzmetal,et al.  Phenomenology of attention: I. Color, location, orientation, and spatial frequency. , 1998 .

[19]  M. Chun,et al.  Organization of visual short-term memory. , 2000, Journal of experimental psychology. Learning, memory, and cognition.

[20]  Xiao-Jing Wang.  Synaptic reverberation underlying mnemonic persistent activity , 2001, Trends in Neurosciences.

[21]  A. Raffone,et al.  A Cortical Mechanism for Binding in Visual Working Memory , 2001, Journal of Cognitive Neuroscience.

[22]  Toshio Inui,et al.  A Feature-Segmentation Model of Short-Term Visual Memory , 1999, Perception.

[23]  Yaoda Xu,et al.  Limitations of object-based feature encoding in visual short-term memory. , 2002, Journal of experimental psychology. Human perception and performance.

[24]  A. Treisman,et al.  Binding in short-term visual memory. , 2002, Journal of experimental psychology. General.

[25]  I. J. Myung,et al.  Tutorial on maximum likelihood estimation , 2003 .

[26]  J. Jay Todd,et al.  Capacity limit of visual short-term memory in human posterior parietal cortex , 2004, Nature.

[27]  Maro G. Machizawa,et al.  Neural activity predicts individual differences in visual working memory capacity , 2004, Nature.

[28]  W. Ma,et al.  A detection theory account of change detection. , 2004, Journal of vision.

[29]  P. Cavanagh,et al.  The Capacity of Visual Short-Term Memory is Set Both by Visual Information Load and by Number of Objects , 2004, Psychological science.

[30]  Edward K. Vogel,et al.  Pushing around the Locus of Selection: Evidence for the Flexible-selection Hypothesis , 2005, Journal of Cognitive Neuroscience.

[31]  Maro G. Machizawa,et al.  Neural measures reveal individual differences in controlling access to working memory , 2005, Nature.

[32]  Andrew R. A. Conway,et al.  On the capacity of attention: Its estimation and its role in working memory and cognitive aptitudes , 2005, Cognitive Psychology.

[33]  Denis Cousineau,et al.  Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method , 2005 .

[34]  G. Woodman,et al.  The time course of consolidation in visual working memory. , 2006, Journal of experimental psychology. Human perception and performance.

[35]  M. Chun,et al.  Dissociable neural mechanisms supporting visual short-term memory for objects , 2006, Nature.

[36]  Chen Shuo.  The Capacity of Visual Working Memory for Motion Direction of Objects , 2006 .

[37]  E. Vogel,et al.  PSYCHOLOGICAL SCIENCE Research Article Visual Working Memory Represents a Fixed Number of Items Regardless of Complexity , 2022 .