Human Visual Short-Term Memory Precision Can Be Varied at Will When the Number of Retained Items Is Low

It has been debated whether human visual working memory is limited by the number of items or the precision with which they are represented. In the research reported here, we show that the precision of working memory can be flexibly and willfully controlled, but only if the number of retained items is low. Electroencephalographic recordings revealed that a neural marker for visual working memory (contralateral delay activity, or CDA) that is known to increase in amplitude with the number of retained items was also affected by the precision with which items were retained. However, willfully enhanced precision increased CDA amplitude only when the number of retained items was low. These results show that both the number and the (willfully controlled) precision of retained items constrain visual working memory: People can enhance the precision of their visual working memory, but only for a few items.

[1]  Jon Driver,et al.  Principal component analysis of behavioural individual differences suggests that particular aspects of visual working memory may relate to specific aspects of attention , 2011, Neuropsychologia.

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

[3]  E. Vogel,et al.  Discrete capacity limits in visual working memory , 2010, Current Opinion in Neurobiology.

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

[5]  Markus Siegel,et al.  Neural substrates of cognitive capacity limitations , 2011, Proceedings of the National Academy of Sciences.

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

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

[8]  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.

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

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

[11]  T. Klingberg,et al.  Prefrontal cortex and basal ganglia control access to working memory , 2008, Nature Neuroscience.

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

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

[14]  Mowei Shen,et al.  Storing fine detailed information in visual working memory--evidence from event-related potentials. , 2009, Journal of vision.

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

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

[17]  E. Vogel,et al.  Contralateral delay activity provides a neural measure of the number of representations in visual working memory. , 2010, Journal of neurophysiology.

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

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

[20]  M. Shen,et al.  Tracking object number or information load in visual working memory: Revisiting the cognitive implication of contralateral delay activity , 2011, Biological Psychology.

[21]  Liqiang Huang,et al.  Visual working memory is better characterized as a distributed resource rather than discrete slots. , 2010, Journal of vision.

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

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