Table 1. Dynamic neural resource (DyNR) model parameters (1–9) and other variables (10–24) used in model description.

No.	Parameter/variable	Description
1	${\displaystyle {\check{\gamma }}_{\mathrm{w}\mathrm{m}}}$	Maximum VWM signal amplitude
2	${\displaystyle \kappa }$	Tuning curve width
3	${\displaystyle {\tau }_{\mathrm{r}\mathrm{i}\mathrm{s}\mathrm{e}}}$	Rise constant of the sensory temporal filter
4	${\displaystyle {\tau }_{\mathrm{d}\mathrm{e}\mathrm{c}\mathrm{a}\mathrm{y}}}$	Decay constant of the sensory temporal filter
5	${\displaystyle {\tau }_{\mathrm{w}\mathrm{m}}}$	Time constant of accumulation into VWM
6	${\displaystyle {\dot{\sigma }}_{\mathrm{d}\mathrm{i}\mathrm{f}\mathrm{f}}^2}$	Base diffusion rate
7	${\displaystyle {\tau }_{\mathrm{s}\mathrm{p}\mathrm{a}\mathrm{t}\mathrm{i}\mathrm{a}\mathrm{l}}}$	Time constant for spatial encoding
8	${\displaystyle r_{\mathrm{s}\mathrm{p}\mathrm{a}\mathrm{t}\mathrm{i}\mathrm{a}\mathrm{l}}}$	Rate constant for spatial diffusion
9	${\displaystyle b}$	Scaling parameter for Hick’s law
10	${\displaystyle t}$	Time, relative to stimulus onset (${\displaystyle t=0)}$
11	${\displaystyle t_{\mathrm{o}\mathrm{f}\mathrm{f}\mathrm{s}\mathrm{e}\mathrm{t}}}$	Time of stimulus offset
12	${\displaystyle t_{\mathrm{c}\mathrm{u}\mathrm{e}}}$	Time of cue onset
13	${\displaystyle t_{\mathrm{c}\mathrm{u}{\mathrm{e}}^{\ast }}}$	Time an item is identified for report
14	${\displaystyle N}$	Number of items in stimulus array
15	${\displaystyle M(t)}$	Number of items in memory at time ${\displaystyle t}$
16	${\displaystyle {\check{\gamma }}_{\mathrm{s}}}$	Maximum sensory signal amplitude
17	${\displaystyle {\gamma }_{\mathrm{s}}(t)}$	Sensory signal amplitude at time ${\displaystyle t}$
18	${\displaystyle {\gamma }_{\mathrm{w}\mathrm{m}}(t)}$	VWM signal amplitude at time ${\displaystyle t}$
19	${\displaystyle {\displaystyle {\gamma }_{{\mathrm{w}\mathrm{m}}^{\ast }}}}$	VWM signal amplitude at the time of decoding
20	${\displaystyle {\sigma }^2(t)}$	Accumulated diffusion at time ${\displaystyle t}$
21	${\displaystyle n}$	Number of neurons
22	${\displaystyle \theta }$	True stimulus feature value
23	${\displaystyle {\theta }^{\ast }}$	Encoded stimulus feature value at the time of decoding
24	${\displaystyle \hat{\theta }}$	Decoded stimulus feature value