Literature DB >> 24490791

Factorial comparison of working memory models.

Ronald van den Berg1, Edward Awh2, Wei Ji Ma3.   

Abstract

Three questions have been prominent in the study of visual working memory limitations: (a) What is the nature of mnemonic precision (e.g., quantized or continuous)? (b) How many items are remembered? (c) To what extent do spatial binding errors account for working memory failures? Modeling studies have typically focused on comparing possible answers to a single one of these questions, even though the result of such a comparison might depend on the assumed answers to both others. Here, we consider every possible combination of previously proposed answers to the individual questions. Each model is then a point in a 3-factor model space containing a total of 32 models, of which only 6 have been tested previously. We compare all models on data from 10 delayed-estimation experiments from 6 laboratories (for a total of 164 subjects and 131,452 trials). Consistently across experiments, we find that (a) mnemonic precision is not quantized but continuous and not equal but variable across items and trials; (b) the number of remembered items is likely to be variable across trials, with a mean of 6.4 in the best model (median across subjects); (c) spatial binding errors occur but explain only a small fraction of responses (16.5% at set size 8 in the best model). We find strong evidence against all 6 documented models. Our results demonstrate the value of factorial model comparison in working memory. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

Entities:  

Mesh:

Year:  2014        PMID: 24490791      PMCID: PMC4159389          DOI: 10.1037/a0035234

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  43 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.  Attentional limits on the perception and memory of visual information.

Authors:  J Palmer
Journal:  J Exp Psychol Hum Percept Perform       Date:  1990-05       Impact factor: 3.332

3.  Discrete-slots models of visual working-memory response times.

Authors:  Christopher Donkin; Robert M Nosofsky; Jason M Gold; Richard M Shiffrin
Journal:  Psychol Rev       Date:  2013-09-09       Impact factor: 8.934

4.  Familiarity and visual change detection.

Authors:  H Pashler
Journal:  Percept Psychophys       Date:  1988-10

5.  A theory for the use of visual orientation information which exploits the columnar structure of striate cortex.

Authors:  M A Paradiso
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

6.  Simple models for reading neuronal population codes.

Authors:  H S Seung; H Sompolinsky
Journal:  Proc Natl Acad Sci U S A       Date:  1993-11-15       Impact factor: 11.205

7.  The coding of spatial position by the human visual system: effects of spatial scale and retinal eccentricity.

Authors:  R F Hess; A Hayes
Journal:  Vision Res       Date:  1994-03       Impact factor: 1.886

8.  "Plateau"-related summary statistics are uninformative for comparing working memory models.

Authors:  Ronald van den Berg; Wei Ji Ma
Journal:  Atten Percept Psychophys       Date:  2014-10       Impact factor: 2.199

9.  The statistical reliability of signals in single neurons in cat and monkey visual cortex.

Authors:  D J Tolhurst; J A Movshon; A F Dean
Journal:  Vision Res       Date:  1983       Impact factor: 1.886

10.  Internal representations of temporal statistics and feedback calibrate motor-sensory interval timing.

Authors:  Luigi Acerbi; Daniel M Wolpert; Sethu Vijayakumar
Journal:  PLoS Comput Biol       Date:  2012-11-29       Impact factor: 4.475

View more
  87 in total

1.  Set size effects on working memory precision are not due to an averaging of slots.

Authors:  Michael S Pratte
Journal:  Atten Percept Psychophys       Date:  2020-08       Impact factor: 2.199

2.  Chunking as a rational strategy for lossy data compression in visual working memory.

Authors:  Matthew R Nassar; Julie C Helmers; Michael J Frank
Journal:  Psychol Rev       Date:  2018-07       Impact factor: 8.934

3.  Clear evidence for item limits in visual working memory.

Authors:  Kirsten C S Adam; Edward K Vogel; Edward Awh
Journal:  Cogn Psychol       Date:  2017-07-19       Impact factor: 3.468

4.  Working Memory: Flexible but Finite.

Authors:  Kirsten C S Adam; John T Serences
Journal:  Neuron       Date:  2019-07-17       Impact factor: 17.173

5.  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

6.  Variable precision in visual perception.

Authors:  Shan Shen; Wei Ji Ma
Journal:  Psychol Rev       Date:  2018-10-18       Impact factor: 8.934

Review 7.  Speeded multielement decision-making as diffusion in a hypersphere: Theory and application to double-target detection.

Authors:  Philip L Smith; Elaine A Corbett
Journal:  Psychon Bull Rev       Date:  2019-02

8.  Perceptual consciousness and cognitive access from the perspective of capacity-unlimited working memory.

Authors:  Steven Gross
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-19       Impact factor: 6.237

9.  Taming the beast: extracting generalizable knowledge from computational models of cognition.

Authors:  Matthew R Nassar; Michael J Frank
Journal:  Curr Opin Behav Sci       Date:  2016-10

10.  Stimulus-Specific Visual Working Memory Representations in Human Cerebellar Lobule VIIb/VIIIa.

Authors:  James A Brissenden; Sean M Tobyne; Mark A Halko; David C Somers
Journal:  J Neurosci       Date:  2020-11-19       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.