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Combining ERG with template fitting procedures is well-suited for comparative investigations of vision and form:function relationships in fishes (Brill et al., 2008; Horodysky et al., 2008; Horodysky et al., 2010; Matsumoto et al., 2012; McComb et al., 2013).
Comparisons of MSP estimates to those resulting from the rhodopsin template fitting procedures applied to ERG data suggest that the latter provides useful comparative insights in visual systems with few, fairly widely spaced visual pigments (Horodysky et al., 2010).
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The intraindividual stability of the SSEPs was demonstrated with the fitting process: it is a highly demanding procedure because it tries to allocate the clustering template fitting with the highest SC to the voltage topography of each time frame independently, and in each individual recording independently.
We proposed a template fitting approach based on the templates which define the spectrum compatibility requirements and sidelobe level requirements.
This includes de-noising, template fitting, landmark identification, and statistical shape analysis.
We further exploit template fitting to generate the geometrically faithful model to the input indoor scene.
Compared to other template fitting based approaches, the parameterization approach introduced in this paper is more efficient.
Details of the data fitting procedures are given in Text S1, Section 1.4.
Further image calculation and fitting procedures were done using MATLAB® (The Mathworks Inc., Natick, MA, USA).
Application of statistical fitting procedures could have resulted in large biases in biomarker performance.
Boltzmann and time constant fitting procedures are as described previously.
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