Open-source software

mTRF-Toolbox is a MATLAB package for modelling multivariate stimulus-response data, suitable for neurophysiological data such as MEG, EEG, sEEG, ECoG and EMG. It can be used to model the functional relationship between neuronal populations and dynamic sensory inputs such as natural scenes and sounds, or build neural decoders for reconstructing stimulus features and developing real-time applications such as brain-computer interfaces (BCIs).
RaceModel is a MATLAB package for stochastic modelling of multisensory reaction times (RTs). It can be used to build parallel models of multisensory information processing for both OR and AND task designs (e.g., the race model), as well as bisensory and trisensory paradigms. Included is a systems factorial technology framework for inferring system architecture and workload capacity (Townsend & Nozawa, 1995). System architecture can also be inferred using a novel framework predicated on biasing the stopping rule (Crosse et al., 2019). Other features include geometric measures of multisensory benefit (Otto et al., 2013) and modality switch effects, and an outlier correction procedure for data cleaning.
PERMUTOOLS is a statistical software package for multivariate permutation testing in MATLAB. 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).