"The TRF is a quantitative estimate of the stimulus-response relationship, assuming that such a relationship exists, that it is approximately linear and measurable, and that it is reasonably consistent over time (i.e., time-invariant). TRF analyses rapidly gained popularity primarily due to the fact they can be used to study how our brains track, encode, and build expectations of continuous stimuli, such as speech and music. For example, the envelope TRF estimates the relationship between the sound envelope, a key property for speech processing , and from the neural response as measured using EEG/MEG for example. For implementation, we refer to the mTRF-Toolbox , a library for estimating multivariate TRFs based on regularised time-lagged regression. Please see Crosse et al., for detailed information on the multivariate TRF methodology and interpretation Is data sharing worth it? Yes, when it's done right! The field of Bioinformatics has implemented an open science framework since the very beginning. In a way, the field itself is a large open science initiative. The scientific publication pipeline includes strict rules for data and code sharing, which is similar but much more rigorous and standardised than in neuroscience at present."