one-size-fits-most scientific sleep recording session protocol

[neurodream]

• scientific sleep measurements are labor and resource heavy
• they should be used to the fullest - for multiple questions?
• can there be an optimized standard protocol of a passive (i.e. paradigm-free, quasi-experimental) recording session?

initial ideas:

• dream reports phantom drawings via multimodal generative AIs (e.g. audio, visual, ...) - one-size-fits-most because no real tradeoff of increasing granularity in only one dimension (contrary to what Windt suggested)
• in general, standardize dream reporting, e.g.:
  • via my NF idea
  • analog scale of fluctuations of some dimension over time (POC in meditation)
• trade-off of number of EEG sensors; don't bother using number between 16 and 60, because it neither really aids sensor-topography nor source localization
• tell about LD, and LRLR eye signals

[neurodream]

• dry run during the day before the night measurement: technical staff is still available in case of setup changes that lead to errors

[neurodream]

• semantical training session before sleep for each subject (e.g. watching annotated video): train decoder