Matlab 7.7.0.471 r2008b

All data were imported from E-Prime 2.0 text files into MatLab 7.7.0.471 R2008b (The Mathworks, Inc., Natick, MA) via a custom-made script for this purpose. Individual subject raw data were used to calculate the mean probability of simultaneity judgment (2-AFC), accuracy (2-IFC), and proportion of trials at which two flashes were reported (SIFI) at each SOA for all assessments. These means were then analyzed in multiple ways as summarized in the Results section.

In the case of classical injections (single-analyte injections), data sets were analyzed with Biacore T100 evaluation software, Biaevaluation 1.1.1, for kinetic parameter determination. For multiple-analyte injections and optimized-experiment analysis, in-house software packages were developed with the MATLAB 7.7.0.471 (R2008b) software platform (The Mathworks, Natick, USA). Those include the software package already described in the manuscript of Mehand et al. (2012) as well as the new multiple-analyte injection model that will be presented in detail in the subsequent sections. The optimization was solved with the standard simplex program available in the optimization Toolbox 4.1 of Matlab. In the case of multiple-analyte injections, for fast and sure convergence, the sensorgrams corresponding to the injection of single analytes at their highest concentrations ((C_Amax, 0) and (0, C_Cmax)) were fitted first with a simple Langmuirian model. The resulting parameter values were taken as a starting point to fit all the data.