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. Author manuscript; available in PMC: 2010 May 1.
Published in final edited form as: Vision Res. 2008 Dec 16;49(10):1129–1143. doi: 10.1016/j.visres.2008.11.001

Figure 1.

Figure 1

Results from a simulation showing how the effects of attention on individual neurons affect the averaged population response. Contrast response functions with and without attention in 100 simulated neurons were generated by sampling from parameter distributions as published by Geisler and Albrecht (1997). Filled symbols and dark lines represent the response to the attended stimulus, and open symbols with gray lines for the unattended stimulus. Panel A: Average response across 100 simulated neurons where spatial attention for each neuron was implemented by a contrast gain parameter s=2.0. Dashed lines are best fits of the model allowing for a contrast gain with attention. Solid lines are best fits allowing for all three spatial attention parameters to vary (s, d and g). Panel B: Similar analysis for spatial attention as a multiplicative gain factor g=1.5. Dashed curves are best fits to the population average allowing the parameter g to vary. Solid lines are fits with all three spatial attention parameters allowed to vary.