The Adaptive Nature of Visual Working Memory

A growing body of scientific evidence suggests that visual working memory and statistical learning are intrinsically linked. Although visual working memory is severely resource limited, in many cases, it makes efficient use of its available resources by adapting to statistical regularities in the visual environment. However, experimental evidence also suggests that there are clear limits and biases in statistical learning. This raises the intriguing possibility that performance limitations observed in visual working memory tasks can to some degree be explained in terms of limits and biases in statistical-learning ability, rather than limits in memory capacity.

[1]  Robert A. Jacobs,et al.  Are Performance Limitations in Visual Short-Term Memory Tasks Due to Capacity Limitations or Model Mismatch? , 2014, 1407.0644.

[2]  Robert A. Jacobs,et al.  Are Performance Limitations in Visual Short-Term Memory Tasks Due to Capacity Limitations or Model Mismatch? , 2014, 1407.0644.

[3]  Edward Awh,et al.  Selection and storage of perceptual groups is constrained by a discrete resource in working memory. , 2013, Journal of experimental psychology. Human perception and performance.

[4]  Edward Awh,et al.  Selection and storage of perceptual groups is constrained by a discrete resource in working memory. , 2013, Journal of experimental psychology. Human perception and performance.

[5]  R. Jacobs,et al.  A probabilistic clustering theory of the organization of visual short-term memory. , 2013, Psychological review.

[6]  R. Jacobs,et al.  A probabilistic clustering theory of the organization of visual short-term memory. , 2013, Psychological review.

[7]  Timothy F. Brady,et al.  A probabilistic model of visual working memory: Incorporating higher order regularities into working memory capacity estimates. , 2013, Psychological review.

[8]  Timothy F. Brady,et al.  A probabilistic model of visual working memory: Incorporating higher order regularities into working memory capacity estimates. , 2013, Psychological review.

[9]  W. Ma Organizing probabilistic models of perception , 2012, Trends in Cognitive Sciences.

[10]  H. B. Barlow,et al.  Possible Principles Underlying the Transformations of Sensory Messages , 2012 .

[11]  H. B. Barlow,et al.  Possible Principles Underlying the Transformations of Sensory Messages , 2012 .

[12]  R. Jacobs,et al.  An ideal observer analysis of visual working memory. , 2012, Psychological review.

[13]  R. Jacobs,et al.  An ideal observer analysis of visual working memory. , 2012, Psychological review.

[14]  M. Husain,et al.  Development of visual working memory precision in childhood , 2012, Developmental science.

[15]  Thomas Alrik Sørensen,et al.  Short-term storage capacity for visual objects depends on expertise. , 2012, Acta psychologica.

[16]  Thomas Alrik Sørensen,et al.  Short-term storage capacity for visual objects depends on expertise. , 2012, Acta psychologica.

[17]  Konrad Paul Kording,et al.  Sensory Cue Integration , 2011 .

[18]  Konrad Paul Kording,et al.  Sensory Cue Integration , 2011 .

[19]  Amanda L. Gilchrist,et al.  Age differences in visual working memory capacity: not based on encoding limitations. , 2011, Developmental science.

[20]  Timothy F. Brady,et al.  A review of visual memory capacity: Beyond individual items and toward structured representations. , 2011, Journal of vision.

[21]  Timothy F. Brady,et al.  A review of visual memory capacity: Beyond individual items and toward structured representations. , 2011, Journal of vision.

[22]  Timothy F. Brady,et al.  Hierarchical Encoding in Visual Working Memory , 2010, Psychological science.

[23]  Timothy F. Brady,et al.  Hierarchical Encoding in Visual Working Memory , 2010, Psychological science.

[24]  David C Knill,et al.  Adapting internal statistical models for interpreting visual cues to depth. , 2010, Journal of vision.

[25]  David C Knill,et al.  Adapting internal statistical models for interpreting visual cues to depth. , 2010, Journal of vision.

[26]  R. Sekuler,et al.  Distortions in recall from visual memory: two classes of attractors at work. , 2010, Journal of vision.

[27]  R. Sekuler,et al.  Distortions in recall from visual memory: two classes of attractors at work. , 2010, Journal of vision.

[28]  Timothy F. Brady,et al.  Compression in visual working memory: using statistical regularities to form more efficient memory representations. , 2009, Journal of experimental psychology. General.

[29]  Timothy F. Brady,et al.  Compression in visual working memory: using statistical regularities to form more efficient memory representations. , 2009, Journal of experimental psychology. General.

[30]  Isabel Gauthier,et al.  A visual short-term memory advantage for objects of expertise. , 2009, Journal of experimental psychology. Human perception and performance.

[31]  Isabel Gauthier,et al.  A visual short-term memory advantage for objects of expertise. , 2009, Journal of experimental psychology. Human perception and performance.

[32]  D. Knill,et al.  Humans use visual and remembered information about object location to plan pointing movements. , 2009, Journal of vision.

[33]  D. Knill,et al.  Humans use visual and remembered information about object location to plan pointing movements. , 2009, Journal of vision.

[34]  D. Samuel Schwarzkopf,et al.  Experience Shapes the Utility of Natural Statistics for Perceptual Contour Integration , 2008, Current Biology.

[35]  D. Samuel Schwarzkopf,et al.  Experience Shapes the Utility of Natural Statistics for Perceptual Contour Integration , 2008, Current Biology.

[36]  W. Geisler Visual perception and the statistical properties of natural scenes. , 2008, Annual review of psychology.

[37]  W. Geisler Visual perception and the statistical properties of natural scenes. , 2008, Annual review of psychology.

[38]  Richard N Aslin,et al.  Bayesian learning of visual chunks by human observers , 2008, Proceedings of the National Academy of Sciences.

[39]  Richard N Aslin,et al.  Bayesian learning of visual chunks by human observers , 2008, Proceedings of the National Academy of Sciences.

[40]  Ashleigh M. Richard,et al.  Understanding the function of visual short-term memory: transsaccadic memory, object correspondence, and gaze correction. , 2008, Journal of experimental psychology. General.

[41]  Ashleigh M. Richard,et al.  Understanding the function of visual short-term memory: transsaccadic memory, object correspondence, and gaze correction. , 2008, Journal of experimental psychology. General.

[42]  B. Backus Recruitment of new visual cues for perceptual appearance , 2008 .

[43]  B. Backus Recruitment of new visual cues for perceptual appearance , 2008 .

[44]  D. Knill,et al.  The role of memory in visually guided reaching. , 2007, Journal of vision.

[45]  D. Knill,et al.  The role of memory in visually guided reaching. , 2007, Journal of vision.

[46]  Robert A Jacobs,et al.  Parameter learning but not structure learning: a Bayesian network model of constraints on early perceptual learning. , 2007, Journal of vision.

[47]  Robert A Jacobs,et al.  Parameter learning but not structure learning: a Bayesian network model of constraints on early perceptual learning. , 2007, Journal of vision.

[48]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[49]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[50]  R. Aslin,et al.  Encoding multielement scenes: statistical learning of visual feature hierarchies. , 2005, Journal of experimental psychology. General.

[51]  R. Aslin,et al.  Encoding multielement scenes: statistical learning of visual feature hierarchies. , 2005, Journal of experimental psychology. General.

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

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

[54]  D. Burr,et al.  The Ventriloquist Effect Results from Near-Optimal Bimodal Integration , 2004, Current Biology.

[55]  D. Burr,et al.  The Ventriloquist Effect Results from Near-Optimal Bimodal Integration , 2004, Current Biology.

[56]  A. Yuille,et al.  Object perception as Bayesian inference. , 2004, Annual review of psychology.

[57]  J. Saunders,et al.  Do humans optimally integrate stereo and texture information for judgments of surface slant? , 2003, Vision Research.

[58]  A. Treisman,et al.  Representation of statistical properties , 2003, Vision Research.

[59]  A. Treisman,et al.  Representation of statistical properties , 2003, Vision Research.

[60]  M. Ernst,et al.  Humans integrate visual and haptic information in a statistically optimal fashion , 2002, Nature.

[61]  M. Ernst,et al.  Humans integrate visual and haptic information in a statistically optimal fashion , 2002, Nature.

[62]  Eero P. Simoncelli,et al.  Natural image statistics and neural representation. , 2001, Annual review of neuroscience.

[63]  Eero P. Simoncelli,et al.  Natural image statistics and neural representation. , 2001, Annual review of neuroscience.

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

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

[66]  R. Jacobs,et al.  Optimal integration of texture and motion cues to depth , 1999, Vision Research.

[67]  R. Jacobs,et al.  Optimal integration of texture and motion cues to depth , 1999, Vision Research.

[68]  R. Watt,et al.  The computation of orientation statistics from visual texture , 1997, Vision Research.

[69]  R. Watt,et al.  The computation of orientation statistics from visual texture , 1997, Vision Research.

[70]  W. Bialek,et al.  Naturalistic stimuli increase the rate and efficiency of information transmission by primary auditory afferents , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[71]  W. Bialek,et al.  Naturalistic stimuli increase the rate and efficiency of information transmission by primary auditory afferents , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

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

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

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

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