Mutual Closest Pairwise Match

Version 2.0.1 (3.22 KB) by Alexis
Find the mutual closest pairwise matches between observations or timestamps in two vectors
Updated 30 Apr 2024

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Finds the matches in any two vectors, ideally set up for calculating temporal asynchrony between events (e.g., within a sensorimotor timing experiment).
This function accepts two vectors (e.g., time stamps, drum hits, word onsets) and looks for the mutual closest pairwise matches between successive observations, dropping unpaired points (e.g., extra or omitted events). No point can be paired more than once.
The resultant absolute distances (e.g., asynchrony in milliseconds) between each pair of points are returned as a new vector, plus the indices of paired/unpaired observations.
You can also optionally plot the two input vectors along with their proposed pairings by flagging third optional argument as '1'.
MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

Little updates to plotting and instructions


Clarification to description


Fixed plotting issue


Added the option to return indices of paired and unpaired points, also improved readability of plotting