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Probabilistic Curve Induction and Testing Toolbox (P-CIT)
The Probabilistic Curve Induction and Testing (P-CIT) toolbox was developed to estimate the shape of a curve relating a predictor variable (e.g., fMRI classifier estimates of memory activation) to a dependent variable (e.g., subsequent memory recall). The toolbox consists of a single directory of Matlab files with thorough documentation. The toolbox was developed in Ken Norman"s Computational Memory Lab at Princeton University, with support from NIMH grant R01_MH069456.
The toolbox can be downloaded here
Users of P-CIT should read the following documents, in the following order:
1) Detre, G. J., Natarajan, A., Gershman, S. J., and Norman, K. A. (2013). Moderate levels of activation lead to forgetting in the think/no-think paradigm. Neuropsychologia. [<
