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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).
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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.
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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).
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