Open-source software

mTRF Toolbox
mTRF Toolbox is a system identification toolbox that permits the fast computation of the linear stimulus-response mapping of a sensory system in the forward or backward direction. Forward modelling can be used to estimate multivariate temporal response functions (mTRFs) that describe the mapping between user-defined stimulus features and multi-channel neural recordings, or to predict the spectrotemporal dynamics of neural responses to novel stimuli. Backward modelling can be used to perform stimulus reconstruction by mapping the multivariate population responses back to the features of the causal stimulus. mTRF Toolbox facilitates the study of ecologically-relevant stimuli such as speech, music or motion, and is suitable for analysing different types of electrophysiological signals including EEG, MEG, ECoG and EMG.
PERMUTOOLS is a statistical software package for multivariate permutation testing. By comparing the magnitude of the test statistic of interest with those obtained using permutations of the data, it provides powerful, distribution-free hypothesis testing. Family-wise error rate is controlled using the maximum statistic method, making it suitable for multivariate or multiple permutation tests. PERMUTOOLS offers a range of test statistics including the t-statistic (paired, unpaired), the F-statistic (unpaired), the correlation coefficient (Pearson, Spearman), as well as measures of effect size with bootstrapped confidence intervals (Cohen's d, Hedges' g, Glass' delta).
RaceModel is a psychophysics toolbox for testing the race model on reaction times (RTs) generated using a redundant signals paradigm. Bi- or tri-sensory RT distributions can be compared the statistical facilitation predicted by the unisensory RT distributions. The race model can be generated under the assumption that RTs on separate sensory channels are statistically independent (Raab's model), perfectly negatively dependent (Miller's bound) or perfectly positively dependent (Grice's bound). RaceModel provides rountines for computing geometric measures of multisensory gain, empirical and predicted benefits as well as modality switch effects.