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The major aim of the Psychtoolbox 3 wrapper is to provide a set of basic tools that allow programming novices the use of the Psychophysics Toolbox without limiting the power and flexibility
of the Psychophysics Toolbox and MATLAB.
psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.
estimates transition probabilities and their standard deviation
BOOTPM is a MatLab script that estimates transition probabilities and their standard deviations both theoretically and using the bootstrap technique.
It creates N samples sampling -with replacement- M observations and then computes the relative N TPM's.
Then, it simply computes the standard deviation of each transition probability using the distribution across all the N TPM's.
Matlab toolbox to run a GLM on graph theoretic properties in MRI data
This Matlab toolbox runs a GLM on graph theoretic network properties in brain networks. The GLM accepts continuous & categorical between-participant predictors and categorical within-participant predictors. Significance is determined via non-parametric permutation tests. The toolbox allows testing of both fully connected and thresholded networks (based on a range of thresholds).