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Forestwalk: A machine learning workflow brings new insights into posture and balance in rodent beam walking

2024-04-29

Abstract excerpt

The beam walk is widely used to study coordination and balance in rodents. While the task has ethological validity, the main endpoints of ‘foot slip counts’ and ‘time to cross’ are prone to human-rater variability and offer limited sensitivity and specificity. We asked if machine learning-based methods could reveal previously hidden, but biologically relevant, insights from the task. Marker-less pose estimation, u...

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Literature Corpus work
0d39c1d9-a9ce-5718-93ed-4a2a15572e5e
DOI
10.1101/2024.04.26.590945
Open publication

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Forestwalk: A machine learning workflow brings new insights into posture and balance in rodent beam walkingDOI 10.1101/2024.04.26.590945
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