A novel behavioral paradigm using mice to study predictive postural control

Postural control circuitry performs the essential function of maintaining balance and body position in response to perturbations that are either self-generated (e.g. reaching to pick up an object) or externally delivered (e.g. being pushed by another person). Human studies have shown that anticipation of predictable postural disturbances can modulate such responses. This indicates that postural control could involve higher-level neural structures associated with predictive functions, rather than being purely reactive. However, the underlying neural circuitry remains largely unknown. To enable studies of predictive postural control circuits, we developed a novel experimental paradigm for mice. In this paradigm, modeled after human studies, a dynamic platform generated reproducible translational perturbations. While mice stood bipedally atop a perch to receive water rewards, they experienced backward translations that were either unpredictable or preceded by an auditory cue. To validate t..., , # Data from: A novel behavioral paradigm using mice to study predictive postural control

## Dataset Overview

* **Subject ID**: CB5, CB6 and CB10
* **Sessions**: 16 sessions(CB5, CB6), 13 sessions (CB10)
* **Files per session**:
* `trajectory_nose_spout_CB[X]_session[N].mat`
* Contains `trajectory_data`: position data (nose and spout coordinates over time)
* `trial_events_CB[X]_session[N].mat`
* Contains `trial`: trial-level metadata and event logs

Each session includes multiple trials. Trials are aligned by index across the two files:

```matlab
trajectory_data(i) <--> trial(i)
```

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### Trajectory Data Structure (`trajectory_data`)

Each entry contains:

| Field | Description | Type |
| ------------------- | ----------------------------------------- | --------------- |
| `noseX`, `noseY` | Nose position over time (mm) | \[N×1 double] |
| `spoutX`, `spoutY` | Spout position over time (mm) ..., ,