Mouse Postural Control Data from a Novel Predictive Perturbation Paradigm

A figshare dataset by Yurika Doi, last updated in April 2026, describes a novel experimental paradigm for studying predictive postural control in mice. The data, stored in a 678 KB DOCX file, includes preliminary validation results from three mice subjected to predictable and unpredictable platform perturbations while receiving water rewards. This work aims to enable neural circuit investigations in mice.

Use Cases

• Modeling predictive versus reactive postural adjustments based on the described auditory cue paradigm.
• Analyzing behavioral adaptation across multiple experimental days as mentioned in the validation results.
• Benchmarking computational models of sensorimotor integration using the described translational perturbation data.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• The experimental paradigm is novel and designed to bridge human and rodent studies of predictive control.
• Preliminary validation includes data from three mice across multiple days.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small in scale at 678.0 KB, indicating limited scope.
• The primary data file is a DOCX document, which may require extraction or conversion for analysis.

Provenance

Source

figshare

Collection Method

Data was generated from a laboratory experiment where mice experienced platform perturbations.

Time Range

The experimental time range is not specified.

Freshness

Last updated 2026-04-13 05:47:57; freshness should be verified.

Geography

The geographic origin of the data is not specified.