Chapter 10 – RETRACTED: Statistical Regularities Allow Multiple Feature Values to Be Stored as Discrete Units

Removal text: This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). Because authors Awh, Vogel, and Brissenden no longer have confidence in the reported findings, this chapter is retracted with the agreement of all authors.

[1]  S. Luck,et al.  Discrete fixed-resolution representations in visual working memory , 2008, Nature.

[2]  Bahador Bahrami,et al.  Precision of working memory for visual motion sequences and transparent motion surfaces. , 2011, Journal of vision.

[3]  Paul C. Quinn,et al.  Perceptual organization of complex visual configurations by young infants , 1997 .

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

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

[6]  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.

[7]  Wei Ji Ma,et al.  Variability in encoding precision accounts for visual short-term memory limitations , 2012, Proceedings of the National Academy of Sciences.

[8]  Dwight J. Peterson,et al.  The Gestalt principle of similarity benefits visual working memory , 2013, Psychonomic bulletin & review.

[9]  Edward Awh,et al.  Precision in Visual Working Memory Reaches a Stable Plateau When Individual Item Limits Are Exceeded , 2011, The Journal of Neuroscience.

[10]  Maro G. Machizawa,et al.  Electrophysiological Measures of Maintaining Representations in Visual Working Memory , 2007, Cortex.

[11]  N. Burgess,et al.  Computational models of working memory: putting long-term memory into context , 2005, Trends in Cognitive Sciences.

[12]  Edward Awh,et al.  A Neural Measure of Item Individuation , 2014 .

[13]  Paul M Bays,et al.  Dynamic Shifts of Limited Working Memory Resources in Human Vision , 2008, Science.

[14]  E. Vogel,et al.  Visual working memory capacity: from psychophysics and neurobiology to individual differences , 2013, Trends in Cognitive Sciences.

[15]  M. Potter,et al.  Temporal constraints on conscious vision: on the ubiquitous nature of the attentional blink. , 2009, Journal of vision.

[16]  Randall W. Engle,et al.  Working-memory capacity as long-term memory activation: An individual-differences approach. , 1993 .

[17]  S. Luck,et al.  Electrophysiological correlates of feature analysis during visual search. , 1994, Psychophysiology.

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

[19]  S. Palmer,et al.  Rethinking perceptual organization: The role of uniform connectedness , 1994, Psychonomic bulletin & review.

[20]  P. Walker,et al.  Perceptual completion and object-based representations in short-term visual memory , 2003, Memory & cognition.

[21]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

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

[23]  Benoit Brisson,et al.  Dissociation of the N2pc and sustained posterior contralateral negativity in a choice response task , 2008, Brain Research.

[24]  A. A. Wijers,et al.  An event-related brain potential correlate of visual short-term memory. , 1999, Neuroreport.

[25]  Timothy F. Brady,et al.  PSYCHOLOGICAL SCIENCE Research Article Statistical Learning Using Real-World Scenes Extracting Categorical Regularities Without Conscious Intent , 2022 .

[26]  Yaoda Xu,et al.  Representing connected and disconnected shapes in human inferior intraparietal sulcus , 2008, NeuroImage.

[27]  P. Perruchet,et al.  Implicit learning and statistical learning: one phenomenon, two approaches , 2006, Trends in Cognitive Sciences.

[28]  A. Baddeley.  Working memory: looking back and looking forward , 2003, Nature Reviews Neuroscience.

[29]  Edward Awh,et al.  RETRACTED: A Common Discrete Resource for Visual Working Memory and Visual Search , 2013, Psychological science.

[30]  Christopher Donkin,et al.  Discrete-slots models of visual working-memory response times. , 2013, Psychological review.

[31]  Nelson Cowan,et al.  Constant Capacity in an Immediate Serial-Recall Task , 2004, Psychological science.

[32]  Paul M Bays,et al.  The precision of visual working memory is set by allocation of a shared resource. , 2009, Journal of vision.

[33]  H. B. Barlow,et al.  Unsupervised Learning , 1989, Neural Computation.

[34]  Edward F. Ester,et al.  Neural Measures Reveal a Fixed Item Limit in Subitizing , 2012, The Journal of Neuroscience.

[35]  Geoffrey F. Woodman,et al.  Electrophysiological measurement of rapid shifts of attention during visual search , 1999, Nature.

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

[37]  Yaoda Xu,et al.  Visual grouping in human parietal cortex , 2007, Proceedings of the National Academy of Sciences.

[38]  Geoffrey F Woodman,et al.  Perceptual organization influences visual working memory , 2003, Psychonomic bulletin & review.

[39]  E. Vogel,et al.  Neural Measures of Individual Differences in Selecting and Tracking Multiple Moving Objects , 2008, The Journal of Neuroscience.

[40]  Paul C. Quinn,et al.  Part—whole perception in early infancy: Evidence for perceptual grouping produced by lightness similarity , 1993 .

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

[42]  Yaoda Xu.  Understanding the object benefit in visual short-term memory: The roles of feature proximity and connectedness , 2006, Perception & Psychophysics.

[43]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

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

[45]  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.

[46]  A. Baddeley.  The episodic buffer: a new component of working memory? , 2000, Trends in Cognitive Sciences.

[47]  N. Cowan.  The magical number 4 in short-term memory: A reconsideration of mental storage capacity , 2001, Behavioral and Brain Sciences.

[48]  Timothy F. Brady,et al.  Ensemble statistics of a display influence the representation of items in visual working memory , 2009 .

[49]  Nash Unsworth,et al.  Working memory capacity and retrieval from long-term memory: the role of controlled search , 2013, Memory & cognition.

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