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In study 2, the calibration and the disengagement script were run on custom-written MATLAB scripts, Psychtoolbox, and the Talk2Tobii toolbox, 1 interfacing with a Tobii TX-300 eyetracker.
Data from a group of three infants with low spatial precision (RMS > 0.30° per infant; 20 25 min of data each) and another group of three infants with high spatial precision data (RMS < 0.13° per infant; 20 25 min of data each) were recorded using a Tobii TX300 eyetracker at a sampling rate of 120 Hz and MATLAB (with Psychophysics Toolbox 1 Version 2 and T2T 2).
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MATLAB Fuzzy Logic Toolbox [23] was used for ANFIS modeling.
The functional has been implemented using the FAIR toolbox [3].
The network is implemented by Caffe toolbox [51].
Parameters of the Recurrence Quantification Analysis (RQA, Table 2) were obtained using the Cross Recurrence Plot Toolbox [5, 18].
For this purpose, MATLAB 8.1(2013a) neural network toolbox [49] was employed.
SD standard deviation, QGS quantitative gated SPECT, ECTb Emory Cardiac Toolbox, 4DM Corridor 4DM, cREPO cardioREPO.
QGS quantitative gated SPECT, ECTb Emory Cardiac Toolbox, 4DM Corridor 4DM, cREPO cardioREPO.
MSR Identity Toolbox [42] was used in all of the classification and scoring phases.
To automate masking of patterns we used an open source Matlab GP toolbox [17].
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