other · Figshare · 2021
Variable-precision model of VWM.
Yi-Jie Zhao (11663148), Tianye Ma (6743093), Li Zhang (8200), Xuemei Ran (11663151), Ru-Yuan Zhang (9253687), Yixuan Ku (33599)
Cited by 0Open access
Abstract
<p><b><i>A</i></b>. Resource decay function. The VP model assumes that the mean resource () for processing a single item declines as a power function of set size <i>N</i>, a trend characterized by two free parameters—initial resources () and decaying exponent (<i>a</i>). <b><i>B</i></b>. The resources across items or trials follow a gamma distribution with the mean resource () determined by the resource decay function (<b><i>A</i></b>) and the resource allocation variability (<i>τ</i>). Larger amounts of resources (<i>J</i>) indicate higher precision and therefore generate narrower von Mises distributions (three small axes indicating the precision equals to 5, 10 and 15 respectively) of stimulus measurement (<i>m</i>). The widths of the von Mises distributions indicate the degree of trial-by-trial sensory uncertainty. <b><i>C</i></b>. The eventual behavioral choice given the internal stimulus measurement (<i>m</i>) is also uncertain, following a von Mises distribution with the choice variability (<i>κ</i><sub><i>r</i></sub>) [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009544#pcbi.1009544.ref049" target="_blank">49</a>]. In the VP model, initial resources (), decaying exponent (<i>a</i>), resource allocation variability (<i>τ</i>) and choice variability (<i>κ</i><sub><i>r</i></sub>) are four free parameters to estimate (see details in SI and van den Berg <i>et al</i>. [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009544#pcbi.1009544.ref050" target="_blank">50</a>]). All numbers here are only for illustration purposes and not quantitatively related to the model fitting results in this paper. a.u.: arbitrary units.</p>
Cite this paper
(11663148), Y.-J. Z., (6743093), T. M., (8200), L. Z., (11663151), X. R., (9253687), R.-Y. Z., & (33599), Y. K. (2021). Variable-precision model of VWM. Figshare. https://doi.org/10.1371/journal.pcbi.1009544.g002
(11663148), Yi-Jie Zhao, et al. “Variable-precision model of VWM.” Figshare, 2021, https://doi.org/10.1371/journal.pcbi.1009544.g002.
(11663148), Yi-Jie Zhao, Tianye Ma (6743093), Li Zhang (8200), Xuemei Ran (11663151), Ru-Yuan Zhang (9253687), and Yixuan Ku (33599). 2021. “Variable-precision model of VWM.” Figshare. https://doi.org/10.1371/journal.pcbi.1009544.g002.
(11663148), Y.-J.Z. et al. (2021) ‘Variable-precision model of VWM’, Figshare. Available at: https://doi.org/10.1371/journal.pcbi.1009544.g002.
@misc{116631482021variable,
title = {{Variable-precision model of VWM.}},
author = {(11663148), Yi-Jie Zhao and (6743093), Tianye Ma and (8200), Li Zhang and (11663151), Xuemei Ran and (9253687), Ru-Yuan Zhang and (33599), Yixuan Ku},
journal = {Figshare},
year = {2021},
doi = {10.1371/journal.pcbi.1009544.g002}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.