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Attention-based CNN-BiLSTM for sleep state classification of spatiotemporal wide-field calcium imaging data.

Xiaohui ZhangEric C LandsnessHanyang MiaoWei ChenMichelle J TangLindsey M BrierJoseph P CulverJin-Moo LeeMark A Anastasio
Published in: Journal of neuroscience methods (2024)
The CNN-BiLSTM effectively classifies sleep states from spatiotemporal WFCI data and will enable broader application of WFCI in sleep research.
Keyphrases
  • sleep quality
  • physical activity
  • electronic health record
  • convolutional neural network
  • big data
  • machine learning
  • high resolution
  • deep learning
  • working memory