~/talk

Networks Cocaine and Fruit Flies

Talkat DSC Europe 23 · 2023-11-20..11-24· [machine-learning, data-science]
links:none on file
slides:none on file

Group experiments use plexiglass arenas and a CTech flight‑tracker to record 30 adult male Drosophila (3–5 days old) across 20 bottles, comparing regular food versus food laced with cocaine; trajectories are tracked, identities manually validated, and networks built with directed, weighted edges for count and duration. Key findings: duration of interactions increases and interaction count rises after cocaine, while community structure deteriorates — modularity drops. Pipeline is automated (16–20 videos/day), code lives on GitHub, and temporal analysis is ongoing.

AI-written summary · about

  1. 0:00Introduction
  2. 1:08Speaker and research
  3. 2:57Fruit flies as model
  4. 4:22Isolation and drug use
  5. 6:06Experiment setup
  6. 7:30Data collection method
  7. 8:54Social interactions defined
  8. 11:05Building interaction networks
  9. 12:51Cocaine’s impact on networks
  10. 13:53Network changes with cocaine
  11. 14:56Fragile X genome research
  12. 15:42Future research and automation
  13. 16:24Acknowledgments
  14. 17:09Q&A: Methamphetamine to cocaine
  15. 18:34Q&A: Timeline and automation
  16. 18:55Q&A: Genomics or pharmacology
  17. 19:38Q&A: Temporal drug effects
  18. 21:02Q&A: Dosage and randomness
  19. 22:10Q&A: Community detection
  20. 23:18Q&A wrap-up
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