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Translational neuroscience applications for automated detection of rodent grooming with deep learning

A Publisher Correction to this article was published on 16 September 2021

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Rodent grooming is an important behaviour that is commonly used to characterize preclinical models of human brain disorders. A new paper has leveraged deep learning to develop a precise, high throughput and automated grooming classifier to facilitate mechanistic neuroscience research on grooming.

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Fig. 1: Schematic of grooming microstructure and different potenital patterns that may not be detected by the grooming classifier developed by Geuther et al.

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Correspondence to Elizbeth E. Manning.

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Burton, N.J., Borne, L. & Manning, E.E. Translational neuroscience applications for automated detection of rodent grooming with deep learning. Lab Anim 50, 244–245 (2021).

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