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Deep learning-based behavioral profiling of rodent stroke recovery.

Rebecca Z WeberGeertje MuldersJulia KaiserChristian TackenbergRuslan Rust
Published in: BMC biology (2022)
We conclude that deep learning-based motion tracking with comprehensive post-analysis provides accurate and sensitive data to describe the complex recovery of rodents following a stroke. The experimental set-up and analysis can also benefit a range of other neurological injuries that affect locomotion.
Keyphrases
  • deep learning
  • atrial fibrillation
  • machine learning
  • high resolution
  • convolutional neural network
  • electronic health record
  • single cell
  • brain injury
  • high speed