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SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.

Ðorðe MiladinovicChristine MuheimStefan BauerAndrea SpinnlerDaniela NoainMojtaba BandarabadiBenjamin GallusserGabriel KrummenacherChristian R. BaumannAntoine AdamantidisSteven A. BrownJoachim M. Buhmann
Published in: PLoS Comput. Biol. (2019)
Keyphrases
  • end to end
  • real time
  • reinforcement learning
  • ad hoc networks
  • motor control
  • video sequences
  • image coding
  • sleep stage