Data and software associated with the publication “De novo learning versus adaptation of continuous control in a manual tracking task”

This collection contains the raw data and analysis code to reproduce the figures in the above publication. We sought to test whether human participants were capable of building controllers de novo to counter either a rotation or a mirror-reversal of visual feedback. To do so, we trained participants to counter these perturbations in a point-to-point reaching task and assessed their control capabilities in a sum-of-sinusoids tracking task. We analyzed their reaching trajectories using a frequency-domain system identification approach. The data were collected in the BLAM Lab at Johns Hopkins University. A README.md file is included in every .zip file with instructions on how to run the analyses. Each .zip file can be run independently of the others.