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Table 1.

Model Parameters

Model ParameterParameter DescriptionValues Tested
stimWidth Spatial extent of stimulus 25 (fixed value) 
stimFeatureWidth Extent of stimulus along feature dimension 25 (fixed value) 
ExWidth Spread of stimulation field along spatial dimension 30, 40, 50, 60, 70, 80, 90 or 100 
EthetaWidth Spread of stimulation field along feature dimension 30, 40, 50, 60, 70 or 80 
IxWidth Spread of suppressive field along spatial dimension = C*ExWidth, where C = 1.5, 2, or 2.5 
IthetaWidth Spread of suppressive field along feature dimension = C*EthetaWidth, where C = 1.5, 2, or 2.5 
AxWidth Extent/width of the spatial attention field = ExWidth 
AthetaWidth Extent/width of the featural attention field = EthetaWidth 
ApeakX Peak amplitude of spatial attention field 2, 4, 6, or 8 
ApeakTheta Peak amplitude of the feature-based attention field 2, 4, 6, or 8 
Abase Baseline of attention field for unattended locations/features 1 (fixed value) 
baselineMod Amount of baseline added to stimulus drive 0, .1, .3, .5, or 1 
baselineUnmod Amount of baseline added after normalization 0, .1, .3, .5, or 1 
sigma Constant that determines the semisaturation contrast 1e−6 (fixed value) 
Ashape either “oval” or “cross” “oval” (fixed value) 
Model ParameterParameter DescriptionValues Tested
stimWidth Spatial extent of stimulus 25 (fixed value) 
stimFeatureWidth Extent of stimulus along feature dimension 25 (fixed value) 
ExWidth Spread of stimulation field along spatial dimension 30, 40, 50, 60, 70, 80, 90 or 100 
EthetaWidth Spread of stimulation field along feature dimension 30, 40, 50, 60, 70 or 80 
IxWidth Spread of suppressive field along spatial dimension = C*ExWidth, where C = 1.5, 2, or 2.5 
IthetaWidth Spread of suppressive field along feature dimension = C*EthetaWidth, where C = 1.5, 2, or 2.5 
AxWidth Extent/width of the spatial attention field = ExWidth 
AthetaWidth Extent/width of the featural attention field = EthetaWidth 
ApeakX Peak amplitude of spatial attention field 2, 4, 6, or 8 
ApeakTheta Peak amplitude of the feature-based attention field 2, 4, 6, or 8 
Abase Baseline of attention field for unattended locations/features 1 (fixed value) 
baselineMod Amount of baseline added to stimulus drive 0, .1, .3, .5, or 1 
baselineUnmod Amount of baseline added after normalization 0, .1, .3, .5, or 1 
sigma Constant that determines the semisaturation contrast 1e−6 (fixed value) 
Ashape either “oval” or “cross” “oval” (fixed value) 

Model parameters from the normalization model of attention (Reynolds & Heeger, 2009) that we used in model simulations. We defined the stimulus and response matrices as varying from −200 to 200 along both spatial and feature dimensions (arbitrary units). We generated the model predictions for every combination of the above model parameters, resulting in 172,800 sets of model predictions.

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