FIR model - ability to alter the duration of the bins and the range of the bins you want for the beta values #29
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Instead of taking the beta from all ## of total bins created by the FIR model, an option to only be able to average across the bins that you want the response from.
Santosa et al., 2018 — The NIRS Brain AnalyzIR Toolbox (methods paper & manual). They explicitly show forming contrasts over a window of bins, e.g. taskA[4:10] or taskA[2:8s], and even handle non-integer window boundaries by weighting edge bins (e.g., c = [0 0.2 0.8 1 1 1]).
Yang et al., 2016 — PNAS (infant color perception). They bin the NIRS data in 2-s bins and then select a time window for statistical evaluation (i.e., analyze a defined subset, not all bins).
Will be added in the next release.
The fix is a workaround. The images utilizing contrast data will have their visualizations updated to be the average over the specified bins, but the actual model is still 15 seconds.