Table 2. Model validation of receptive field analysis.

	AI (relative surround strength)				AI (center time to peak)
	mean	std	p	skew	mean	std	p	skew
Standard model	−0.02	0.06	.004	−1.10	− 0.0003	0.002	.04	− 4.70
Small surround weight	−0.06	0.13	< .0001	−0.12	− 0.0003	0.002	.04	− 4.69
Large surround weight	−0.05	0.26	.08	−2.44	− 0.0014	0.004	.0003	− 2.66
Small surround radius	− 0.01	0.08	.19	−4.56	−0.0009	0.003	.0007	−2.49
Large surround radius	−0.02	0.05	<.0001	−0.24	−0.0005	0.002	.01	−3.71

Adaptation index (AI) in surround strength and center latency for different non-adapting control models. Columns labeled “mean,” “std,” and “skew” show the mean, standard deviation, and skewness of the adaptation indices for the indicated analysis; columns labeled “p” show the from of each distribution against the null hypothesis of zero mean. Standard model: Surround radii (relative to center radii) had mean 2 and standard deviation 0.3; surround weights (relative to center weights) had mean 1 and standard deviation 0.1. Small surround weight: Surround weights had mean 0.5; all other parameters were the same as in the standard model. Large surround weight: Surround weights had mean 2. Small surround radius: Surround radii had mean 1. Large surround radius: Surround radii had mean 3.