Spatial Transposition Gradients in Visual Working Memory

In list memory, access to individual items reflects limits of temporal distinctiveness. This is reflected in the finding that neighbouring list items tend to be confused most often. This article investigates the analogous effect of spatial proximity in a visual working-memory task. Items were presented in different locations varying in spatial distance. A retro-cue indicated the location of the item relevant for the subsequent memory test. In two recognition experiments, probes matching spatially close neighbours of the relevant item led to more false alarms than probes matching distant neighbours or non-neighbouring memory items. In two probed-recall experiments, one with simultaneous, the other with sequential memory item presentation, items closer to the cued location were more frequently chosen for recall than more distant items. These results reflect a spatial transposition gradient analogous to the temporal transposition gradient in serial recall and challenge fixed-capacity models of visual working memory (WM).

[1]  Emma Y. Wu,et al.  Storage and binding of object features in visual working memory , 2011, Neuropsychologia.

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

[3]  Gordon D. A. Brown,et al.  A temporal ratio model of memory. , 2007, Psychological review.

[4]  Stephen M. Emrich,et al.  Competition increases binding errors in visual working memory. , 2012, Journal of vision.

[5]  J. S. Nairne,et al.  A framework for interpreting recency effects in immediate serial recall , 1988, Memory & cognition.

[6]  Aimée M. Surprenant,et al.  Principles of Memory , 2009 .

[7]  Stephan Lewandowsky,et al.  Temporal isolation effects in recognition and serial recall , 2010, Memory & cognition.

[8]  Patrick Cavanagh,et al.  Attention Routines and the Architecture of Selection , 2004 .

[9]  Gordon D. A. Brown,et al.  Serial recall and presentation schedule: A micro‐analysis of local distinctiveness , 2005, Memory.

[10]  Michael E J Masson,et al.  A tutorial on a practical Bayesian alternative to null-hypothesis significance testing , 2011, Behavior research methods.

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

[12]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[13]  Simon Farrell,et al.  Modelling transposition latencies: Constraints for theories of serial order memory☆ , 2004 .

[14]  R. Henson Short-Term Memory for Serial Order: The Start-End Model , 1998, Cognitive Psychology.

[15]  Steven J. Luck,et al.  The Number and Quality of Representations in Working Memory , 2011, Psychological science.

[16]  D. Norris,et al.  THE QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 1996, 49A (1), 80 ± 115 Unchained Memory: Error Patterns Rule out Chaining Models of Immediate Serial Recall , 2022 .

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

[18]  Simon Farrell,et al.  Relations between timing, position, and grouping in short-term memory , 2011, Memory & cognition.

[19]  B. Murdock,et al.  Transpositions in short-term memory. , 1967, Journal of Experimental Psychology.

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

[21]  Simon Farrell,et al.  Short-Term Memory: New Data and a Model , 2008 .

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