Skip to main content
. Author manuscript; available in PMC: 2021 Dec 21.
Published in final edited form as: Nat Hum Behav. 2021 Jun 17;5(12):1674–1685. doi: 10.1038/s41562-021-01129-1

Table 1.

Model parameters. Light gray shading indicates that the parameter was fixed to a set value and not optimized during fitting. All times (i.e., time constants, latencies) are given in ms. Negative latencies for tVAOn mean that the voluntary control signal started before the target.

Parameter Description Value 95% CI
All layers
n exponent 1.5 --
Sensory layer 1
τ S1 time constant 52 [49 116]
σ S1 semi-saturation constant 1.4 [1.2 2.0]
Sensory layer 2
τ S2 time constant 100 [69 120]
σ S2 semi-saturation constant 0.1 --
Decision layer
τ D time constant 1e5 --
σ D semi-saturation constant 0.7 --
Voluntary attention layer
τ VA time constant 50 --
σA (shared with IA) semi-saturation constant 20 --
b VA amplitude of voluntary gain modulation 40 [21 50]
t VAOn latency of voluntary control signal onset −34 [−223 −6]
t VADur duration of voluntary control signal 124 [99 374]
t R recovery time of voluntary gain 918 [600 1091]
w N weight to treat neutral precue more like precue T1 (1) or precue T2 (0) 0.28 [0.01 0.53]
Involuntary attention layer
τ IA time constant 2 --
σA (shared with VA) semi-saturation constant 20 --
b IA amplitude of involuntary gain modulation 8.5 [0.8 27.9]
h IA :p shape parameter for involuntary temporal prefilter 2.2 [0.04 49.9]
h IA :q scaling parameter for involuntary temporal prefilter 0.023 [0.01 0.09]
Fitting
s T1 scaling constant to relate model output to d’ for T1 1 --
s T2 scaling constant to relate model output to d’ for T2 0.80 [0.77 0.84]
Number of parameters
Total 20 --
Fitted 12 --