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 |
-- |