New INI paper published in Nature

Researches at INI developed a new method for analysing change in high-dimensional data that is based on nearest neighbour statistics, and applied it to study song dynamics during vocal learning in zebra finches. The new method appears well suited to comparing learning and change across behaviours and species, as well as biological and artificial systems.

Sepp Kollmorgen, Richard HR Hahnloser and Valerio Mante, Nearest neighbours reveal fast and slow components of motor learning, Nature 2020 (https://www.nature.com/articles/s41586-019-1892-x)

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