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).