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. 2015 Oct 30;11(10):e1004510. doi: 10.1371/journal.pcbi.1004510

Table 3. Best-fit parameter values for group-averaged data.

Parameter FS model ES model Description
best-fit value [68% confidence interval] best-fit value [68% confidence interval]
n 1.95
[1.84 2.08]
1.85
[1.72 1.95]
Exponent of the neural contrast response function
σ 0.0016
[0.0015 0.0033]
0.0016
[0.0015 0.0032]
Constant term of the suppressive drive
wI 0.67
[0.46 1.04]
1.08
[0.87 1.03]
Interocular normalization weight
wx 4.24
[4.10 4.34]
(1.00, 0.20, 0.26, 0.36, 0.36)
2.46
[2.37 2.57]
(1.00, 0.26, 0.49, 0.77, 0.77)
Magnitude of stimulus-driven attentional modulation
wv 5.03
[5.01 5.03]
(2.01)
4.90
[4.82 4.93]
(1.98)
Magnitude of goal-driven attentional modulation
p 0.13
[0.11 0.22]
0.71
[0.70 0.86]
Trade-off between the magnitude and the spatial extent of the attentional gains
σn 2.92
[2.75 3.08]
2.82
[2.59 2.93]
Magnitude of the noise
R 2 97.1% 94.8%

For each parameter, we report the best-fit value and the 68% confidence interval obtained by a bootstrapping procedure. The value of σ is reported in units of excitatory drive (see Eq 2). In the row of w x, we also report the stimulus-driven attentional gain factor of the neuron tuned to the target in the no-, small-, medium-, large- and split-competitor conditions (corresponding to the five values in the parenthesis, respectively). In the row of w v, the goal-driven attentional gain factor of the neuron tuned to the target is reported too. This value is the same across conditions because the spatial spread of goal-driven attention did not change with competitor (see details in Table 1).