Literature DB >> 21596568

Visual short-term memory compared in rhesus monkeys and humans.

L Caitlin Elmore1, Wei Ji Ma, John F Magnotti, Kenneth J Leising, Antony D Passaro, Jeffrey S Katz, Anthony A Wright.   

Abstract

Change detection is a popular task to study visual short-term memory (STM) in humans [1-4]. Much of this work suggests that STM has a fixed capacity of 4 ± 1 items [1-6]. Here we report the first comparison of change-detection memory between humans and a species closely related to humans, the rhesus monkey. Monkeys and humans were tested in nearly identical procedures with overlapping display sizes. Although the monkeys' STM was well fit by a one-item fixed-capacity memory model, other monkey memory tests with four-item lists have shown performance impossible to obtain with a one-item capacity [7]. We suggest that this contradiction can be resolved using a continuous-resource approach more closely tied to the neural basis of memory [8, 9]. In this view, items have a noisy memory representation whose noise level depends on display size as a result of the distributed allocation of a continuous resource. In accord with this theory, we show that performance depends on the perceptual distance between items before and after the change, and d' depends on display size in an approximately power-law fashion. Our results open the door to combining the power of psychophysics, computation, and physiology to better understand the neural basis of STM.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21596568      PMCID: PMC4634532          DOI: 10.1016/j.cub.2011.04.031

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  16 in total

1.  The magical number 4 in short-term memory: a reconsideration of mental storage capacity.

Authors:  N Cowan
Journal:  Behav Brain Sci       Date:  2001-02       Impact factor: 12.579

2.  The capacity of visual short-term memory is set both by visual information load and by number of objects.

Authors:  G A Alvarez; P Cavanagh
Journal:  Psychol Sci       Date:  2004-02

3.  A detection theory account of change detection.

Authors:  Patrick Wilken; Wei Ji Ma
Journal:  J Vis       Date:  2004-12-29       Impact factor: 2.240

Review 4.  Coding of visual objects in the ventral stream.

Authors:  Leila Reddy; Nancy Kanwisher
Journal:  Curr Opin Neurobiol       Date:  2006-07-07       Impact factor: 6.627

5.  Bayesian inference with probabilistic population codes.

Authors:  Wei Ji Ma; Jeffrey M Beck; Peter E Latham; Alexandre Pouget
Journal:  Nat Neurosci       Date:  2006-10-22       Impact factor: 24.884

6.  Saccade target selection in the superior colliculus: a signal detection theory approach.

Authors:  Byounghoon Kim; Michele A Basso
Journal:  J Neurosci       Date:  2008-03-19       Impact factor: 6.167

Review 7.  Spiking networks for Bayesian inference and choice.

Authors:  Wei Ji Ma; Jeffrey M Beck; Alexandre Pouget
Journal:  Curr Opin Neurobiol       Date:  2008-08-21       Impact factor: 6.627

8.  A change detection approach to study visual working memory of the macaque monkey.

Authors:  Evelien Heyselaar; Kevin Johnston; Martin Paré
Journal:  J Vis       Date:  2011-03-14       Impact factor: 2.240

9.  Dynamic shifts of limited working memory resources in human vision.

Authors:  Paul M Bays; Masud Husain
Journal:  Science       Date:  2008-08-08       Impact factor: 47.728

Review 10.  Noise in the nervous system.

Authors:  A Aldo Faisal; Luc P J Selen; Daniel M Wolpert
Journal:  Nat Rev Neurosci       Date:  2008-04       Impact factor: 34.870

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  45 in total

1.  Variability in encoding precision accounts for visual short-term memory limitations.

Authors:  Ronald van den Berg; Hongsup Shin; Wen-Chuang Chou; Ryan George; Wei Ji Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-11       Impact factor: 11.205

2.  Real and implied motion at the center of gaze.

Authors:  Alper Açik; Andreas Bartel; Peter König
Journal:  J Vis       Date:  2014-01-06       Impact factor: 2.240

3.  Dissociations of the number and precision of visual short-term memory representations in change detection.

Authors:  Weizhen Xie; Weiwei Zhang
Journal:  Mem Cognit       Date:  2017-11

4.  Monkey prefrontal neurons during Sternberg task performance: full contents of working memory or most recent item?

Authors:  R O Konecky; M A Smith; C R Olson
Journal:  J Neurophysiol       Date:  2017-03-22       Impact factor: 2.714

5.  Slot-like capacity and resource-like coding in a neural model of multiple-item working memory.

Authors:  Dominic Standage; Martin Paré
Journal:  J Neurophysiol       Date:  2018-06-27       Impact factor: 2.714

6.  Change detection by rhesus monkeys (Macaca mulatta) and pigeons (Columba livia).

Authors:  L Caitlin Elmore; John F Magnotti; Jeffrey S Katz; Anthony A Wright
Journal:  J Comp Psychol       Date:  2012-03-19       Impact factor: 2.231

7.  Obligatory encoding of task-irrelevant features depletes working memory resources.

Authors:  Louise Marshall; Paul M Bays
Journal:  J Vis       Date:  2013-02-18       Impact factor: 2.240

Review 8.  Changing concepts of working memory.

Authors:  Wei Ji Ma; Masud Husain; Paul M Bays
Journal:  Nat Neurosci       Date:  2014-02-25       Impact factor: 24.884

9.  Visual object complexity limits pigeon short-term memory.

Authors:  John F Magnotti; Adam M Goodman; Thomas A Daniel; L Caitlin Elmore; Anthony A Wright; Jeffrey S Katz
Journal:  Behav Processes       Date:  2012-10-23       Impact factor: 1.777

10.  Change detection for the study of object and location memory.

Authors:  L Caitlin Elmore; Antony D Passaro; Anthony A Wright
Journal:  Behav Processes       Date:  2012-11-14       Impact factor: 1.777

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