Response-time evidence for mixed memory states in a sequential-presentation change-detection task

Response-time (RT) and choice-probability data were obtained in a rapid visual sequential-presentation change-detection task in which memory set size, study-test lag, and objective change probabilities were manipulated. False "change" judgments increased dramatically with increasing lag, consistent with the idea that study items with long lags were ejected from a discrete-slots buffer. Error RTs were nearly invariant with set size and lag, consistent with the idea that the errors were produced by a stimulus-independent guessing process. The patterns of error and RT data could not be explained in terms of encoding limitations, but were consistent with the hypothesis that long retention lags produced a zero-stimulus-information state that required guessing. Formal modeling of the change-detection RT and error data pointed toward a hybrid model of visual working memory. The hybrid model assumed mixed states involving a combination of memory and guessing, but with higher memory resolution for items with shorter retention lags. The work raises new questions concerning the nature of the memory representations that are produced across the closely related tasks of change detection and visual memory search.

[1]  Roger Ratcliff,et al.  Beyond ROC curvature: Strength effects and response time data support continuous-evidence models of recognition memory. , 2012, Journal of memory and language.

[2]  J. Wolfe Saved by a Log , 2012, Psychological science.

[3]  W. Ma,et al.  Factorial comparison of working memory models. , 2014, Psychological review.

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

[5]  R. Atkinson,et al.  Accuracy and speed strategies in scanning active memory , 1974, Memory & cognition.

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

[7]  J. Wixted,et al.  On the Form of Forgetting , 1991 .

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

[9]  D Burrows,et al.  Memory Retrieval from Long and Short Lists , 1975, Science.

[10]  Edward F. Ester,et al.  Discrete resource allocation in visual working memory. , 2009, Journal of experimental psychology. Human perception and performance.

[11]  R. Nosofsky,et al.  Memory strength versus memory variability in visual change detection , 2016, Attention, perception & psychophysics.

[12]  R. Nosofsky,et al.  The structure of short-term memory scanning: an investigation using response time distribution models , 2012, Psychonomic Bulletin & Review.

[13]  Klaus Oberauer,et al.  Focused attention improves working memory: implications for flexible-resource and discrete-capacity models , 2014, Attention, perception & psychophysics.

[14]  Richard C. Atkinson,et al.  Human Memory: A Proposed System and its Control Processes , 1968, Psychology of Learning and Motivation.

[15]  W. Ma,et al.  Changing concepts of working memory , 2014, Nature Neuroscience.

[16]  Kimron L. Shapiro,et al.  The role of biased competition in visual short-term memory , 2011, Neuropsychologia.

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

[18]  R. Kinchla,et al.  A diffusion model of perceptual memory , 1967 .

[19]  E. Vogel,et al.  Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval , 2014, Cognitive Psychology.

[20]  R. Ratcliff,et al.  Evaluating the unequal-variance and dual-process explanations of zROC slopes with response time data and the diffusion model , 2012, Cognitive Psychology.

[21]  G. Woodman,et al.  The comparison of visual working memory representations with perceptual inputs. , 2009, Journal of experimental psychology. Human perception and performance.

[22]  Richard M. Shiffrin,et al.  Familiarity and categorization processes in memory search , 2014, Cognitive Psychology.

[23]  Scott D. Brown,et al.  The simplest complete model of choice response time: Linear ballistic accumulation , 2008, Cognitive Psychology.

[24]  Jonathan E. Thiele,et al.  Evidence for a Guessing in Working-Memory Judgments: (528942014-231) , 2015 .

[25]  Paul M Bays,et al.  Dynamic Updating of Working Memory Resources for Visual Objects , 2011, The Journal of Neuroscience.

[26]  H Pashler,et al.  Familiarity and visual change detection , 1988, Perception & psychophysics.

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

[28]  Chris Donkin,et al.  A Power-Law Model of Psychological Memory Strength in Short- and Long-Term Recognition , 2012, Psychological science.

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

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

[31]  Edward Awh,et al.  A bilateral advantage for storage in visual working memory , 2010, Cognition.

[32]  Roger Ratcliff,et al.  A Theory of Memory Retrieval. , 1978 .

[33]  B. Dosher,et al.  Serial position and set size in short-term memory: The time course of recognition , 1989 .

[34]  Chris Donkin,et al.  Location-based errors in change detection: A challenge for the slots model of visual working memory , 2014, Memory & Cognition.

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

[36]  Jeffrey N Rouder,et al.  Comment on "Dynamic Shifts of Limited Working Memory Resources in Human Vision" , 2009, Science.

[37]  Wei Ji Ma,et al.  No Evidence for an Item Limit in Change Detection , 2013, PLoS Comput. Biol..

[38]  M. Manosevitz High-Speed Scanning in Human Memory , .

[39]  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.

[40]  S. Sternberg High-Speed Scanning in Human Memory , 1966, Science.

[41]  Jeffrey N Rouder,et al.  An assessment of fixed-capacity models of visual working memory , 2008, Proceedings of the National Academy of Sciences.

[42]  Paul M Bays,et al.  Temporal dynamics of encoding, storage, and reallocation of visual working memory. , 2011, Journal of vision.

[43]  S. Monsell Recency, immediate recognition memory, and reaction time , 1978, Cognitive Psychology.

[44]  Mary C Potter,et al.  Large capacity temporary visual memory. , 2014, Journal of experimental psychology. General.

[45]  Caren M Rotello,et al.  Analysis of RT distributions in the remember—know paradigm , 2008, Psychonomic bulletin & review.

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

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

[48]  R. Ratcliff,et al.  Connectionist and diffusion models of reaction time. , 1999, Psychological review.

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

[50]  David K. Sewell,et al.  A competitive interaction theory of attentional selection and decision making in brief, multielement displays. , 2013, Psychological review.

[51]  R. Shiffrin,et al.  Controlled and automatic human information processing: I , 1977 .

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

[53]  Walter Schneider,et al.  Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. , 1977 .

[54]  E. Wagenmakers,et al.  Diffusion versus linear ballistic accumulation: different models but the same conclusions about psychological processes? , 2010, Psychonomic bulletin & review.

[55]  Paul M Bays,et al.  Working memory retrieval as a decision process. , 2014, Journal of vision.

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

[57]  R. Shiffrin,et al.  Retrieval processes in recognition and cued recall. , 2001, Journal of experimental psychology. Learning, memory, and cognition.

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

[59]  Michael J Kahana,et al.  Current Directions in Psychological Science In press A stimulus-oriented approach to memory , 2007 .

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

[61]  M. Potter,et al.  A two-stage model for multiple target detection in rapid serial visual presentation. , 1995, Journal of experimental psychology. Human perception and performance.

[62]  Simon D Lilburn,et al.  An information capacity limitation of visual short-term memory. , 2014, Journal of experimental psychology. Human perception and performance.

[63]  Philipp Koehn,et al.  Cognitive Psychology , 1992, Ageing and Society.

[64]  George A. Alvarez,et al.  Variability in the quality of visual working memory , 2012, Nature Communications.

[65]  Daniel R. Little,et al.  Short-term memory scanning viewed as exemplar-based categorization. , 2011, Psychological review.

[66]  Lila Davachi,et al.  Are Representations in Working Memory Distinct From Representations in Long-Term Memory? , 2010, Psychological science.

[67]  Barton L Anderson,et al.  Texture-shading flow interactions and perceived reflectance. , 2014, Journal of vision.

[68]  Robert Hooke,et al.  `` Direct Search'' Solution of Numerical and Statistical Problems , 1961, JACM.

[69]  R. Sekuler,et al.  Recognizing spatial patterns: a noisy exemplar approach , 2002, Vision Research.

[70]  Gregory E. Cox,et al.  Journal of Experimental Psychology : Learning , Memory , and Cognition An Exemplar-Familiarity Model Predicts Short-Term and Long-Term Probe Recognition Across Diverse Forms of Memory Search , 2014 .

[71]  John R. Anderson,et al.  Reflections of the Environment in Memory Form of the Memory Functions , 2022 .

[72]  James T. Townsend,et al.  The Stochastic Modeling of Elementary Psychological Processes , 1983 .

[73]  G. Schwarz Estimating the Dimension of a Model , 1978 .