2019
DOI: 10.31234/osf.io/q57fm
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A new toolbox to distinguish the sources of spatial memory error

Abstract: Studying the sources of errors in memory recall has proven invaluable for understanding the mechanisms of working memory (WM). While non-spatial memory features (e.g. colour, orientation) can be analysed using mixture models to separate the influence of imprecision, guessing, and misbinding (the tendency to confuse features that belong to different memoranda), such methods are not currently available for spatial WM tasks.Here we present a method to isolate sources of spatial error in tasks where participants … Show more

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Cited by 2 publications
(4 citation statements)
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“…This model has been so far very successful in identifying sources of error in memory tasks that use reproduction of one dimensional features such as orientation, colour or motion 32,37 . Recently, this has been adapted for 2 dimensional features such as location in the MemToolbox 2D package 33 . The model is descried by the following equation:ˆP where the free parameters of α, β, γ, and κ, correspond to proportion of target responses, swaps, guesses and the concentration of a 2D bivariate Gaussian distribution (with zero covariance) respectively.…”
Section: Oxford Memory Test (Omt)mentioning
confidence: 99%
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“…This model has been so far very successful in identifying sources of error in memory tasks that use reproduction of one dimensional features such as orientation, colour or motion 32,37 . Recently, this has been adapted for 2 dimensional features such as location in the MemToolbox 2D package 33 . The model is descried by the following equation:ˆP where the free parameters of α, β, γ, and κ, correspond to proportion of target responses, swaps, guesses and the concentration of a 2D bivariate Gaussian distribution (with zero covariance) respectively.…”
Section: Oxford Memory Test (Omt)mentioning
confidence: 99%
“…To address these shortcomings and to investigate the existence of a potential cognitive advantage associated with APOE ε4 gene across ageing, we examined the largest cohort of genotyped individuals to be tested on a highly sensitive test of STM. The task, previously shown to detect subtle changes in performance in healthy ageing and in APOE ε4 gene carriers in small sample sizes, is a more sensitive measure of memory compared to classical neuropsychological assessments 31 and also allows separating out the different kinds of error that people make 32,33 .…”
mentioning
confidence: 99%
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“…Therefore, instead of solely asking participants to report whether they remember a feature, here they were also requested to reproduce the exact quality of the remembered feature in an analogue response space ( Bays, Catalao, & Husain, 2009 ; Gorgoraptis, Catalao, Bays, & Husain, 2011 ; Pertzov, Dong, Peich, & Husain, 2012 ). This method also allowed us to model the source of errors in terms of noisiness or imprecision of recall of the probed item or target, misbinding (reporting the features of a non-probed item that had been presented in the encoding display) and random guessing ( Bays et al, 2009 ; Grogan, Fallon, Zokaei, Husain, & Manohar, 2020 ).…”
Section: Introductionmentioning
confidence: 99%