Data for: Exploration-based learning of a stabilizing controller predicts locomotor adaptation

Humans can adapt to walking under widely different conditions. In the manuscript 'Exploration-based learning of a stabilizing controller predicts locomotor adaptation', we advance such a model of locomotor learning and adaptation, consisting of a stabilizing feedback controller at its core, which is modified gradually by an exploration-driven reinforcement learner while using memory to store and use advantageous strategies. We performed two prospective experimental studies to test some predictions of the model and the dataset herein provides the relevant data for these prospective experiments, all involving human participants walking on a split-belt treadmill. A split-belt treadmill has two belts side-by-side, with the participant walking with one foot on each belt and the two belts being run at equal speeds (tied belt condition) or unequal speeds (split-belt condition). The data corresponds to human participants walking under the following three conditions: (1) Split belt adaptation pr..., We used a Bertec instrumented split-belt treadmill and the motion data was obtained using a Vicon T20 motion capture system with Nexus 1.x which tracks the positions of reflective markers. We report markers typically on the foot (shoe), usually at the heel position. The data was collected at 100 Hz, and standard Vicon marker gap-filling was applied (spline, pattern fill, and kinematic fits)., , # Data for: Exploration-based learning of a stabilizing controller predicts locomotor adaptation

[https://doi.org/10.5061/dryad.kh18932gq](https://doi.org/10.5061/dryad.kh18932gq)

## Description of the data and file structure

All experiments were conducted with the approval of the Ohio State University Institutional Review Board and all participants provided informed consent.

Four data files are provided:

**Motion data files:** Three of these data files are .mat files, containing the motion of a foot marker in the fore-aft direction. The three files correspond to the three walking conditions:
1) DatNoNoiseProtocol.mat: split-belt adaptation with no explicit belt noise
2) DatNoiseProtocol.mat: split-belt adaptation with a noisy belt speed
3) DatTABProtocol.mat: split-belt adaptation protocol to test interference due to a previously experienced opposite perturbation

**Participant data:** Participant age and self-reported sex are provided in the Excel file for all 25 participants.

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