Johannes Bohacek

@BohacekLab

Neuroscientist interested in stress, behavior, hippocampus and locus coeruleus. Here to share, learn and laugh.

Zurich, Switzerland
Vrijeme pridruživanja: svibanj 2017.

Tweetovi

Blokirali ste korisnika/cu @BohacekLab

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @BohacekLab

  1. Prikvačeni tweet
    22. sij

    Very happy to share our latest work! Frustrated with expensive and inflexible rodent behavior testing systems, we compared head-to-head with 2 leading commercial systems. But first, please turn up the volume to 11 for this trailer 🙂

    Prikaži ovu nit
    Poništi
  2. proslijedio/la je Tweet
    prije 23 sata

    Inspiring day at the spotlight day on January 30th with and the whole MIP team. The brilliant immortalised our talk in a cartoon, which is much more fun than any of my slides...

    Poništi
  3. proslijedio/la je Tweet
    31. sij

    “What’s the mechanism?” can be a really ridiculous question. When a truly novel observation is made, almost by definition, the mechanism is unknown (and what qualifies as a “mechanism”?). Asking scientists to wait YEARS before sharing an exciting observation is irresponsible.

    Prikaži ovu nit
    Poništi
  4. proslijedio/la je Tweet
    29. sij

    Hey neuroscis! What’s your favorite ?

    Prikaži ovu nit
    Poništi
  5. 29. sij

    We're kickstarting our funded multi-investigator-project headed by ! Step 1: taking first measurements of the isolator units deep underground the research facility. Step 2: Posing for science with

    Poništi
  6. 27. sij

    Thrilled about today's visit of grandmaster Sebastien Bouret!! At 2pm he'll talk about the "Complementary roles of and in decision making". Swing by if you're in Zurich: Irchel Campus (Y36-L08)

    Poništi
  7. 24. sij
    Poništi
  8. proslijedio/la je Tweet
    24. sij
    Odgovor korisnicima

    Follow us for big updates coming up soon! But in short, yes!

    Poništi
  9. proslijedio/la je Tweet
    23. sij
    Poništi
  10. 23. sij

    The best thing for me as a PI is to see that my team is genuinely having fun. And nothing better than the humor spreading to neighboring groups only to come back full circle to make me laugh again. Brilliant, thank you!

    Poništi
  11. proslijedio/la je Tweet
    23. sij

    This is brilliant, Loving the trailer by !! The latest publication finding the open source performs far better than the leading commercial systems. Check out the trailer and thread for more information!

    Poništi
  12. proslijedio/la je Tweet
    23. sij

    I'm so excited about this I'm retweeting it twice. DM me if you're looking to set this up and want to come work in my lab.

    Poništi
  13. proslijedio/la je Tweet
    23. sij

    The more advanced we get, the wider the between and - Patricia Bonnavion, PI in Lab of Neurophysiology, at All interviews on in sciences

    Poništi
  14. 23. sij

    Oh, check this out! Guess what's making your hair gray when you're stressed? --> !!! Very cool study, nice how they rule out the other major mediators and hone in on the sympathetic nervous system 🔥

    Poništi
  15. 22. sij

    *powered by who on earth is anyways? 🤦‍♂️

    Prikaži ovu nit
    Poništi
  16. proslijedio/la je Tweet
    22. sij
    Poništi
  17. proslijedio/la je Tweet
    22. sij

    >> commercial solutions! 🙌 awesome benchmarking, new post-DLC tools, plus best trailer video of all ...👇 (volume on!) 🤟

    Poništi
  18. 22. sij

    Oh, and I forgot to add co-author and twitter-rookie to the list! Lots of fun to collaborate with him on this and other projects !

    Prikaži ovu nit
    Poništi
  19. proslijedio/la je Tweet
    22. sij

    Much needed comparison! We dropped commercial solutions a long time ago, but DLC clearly brings behavioral analysis to a new level.

    Poništi
  20. 22. sij

    Our work provides urgently needed benchmarking experiments, comparing commercial systems and DLC to human annotation. The freely available, annotated behavior videos will hopefully serve to push these boundaries. Let us know what you think and please RT!

    Prikaži ovu nit
    Poništi
  21. 22. sij

    We then integrated the tracking data from DLC with supervised machine learning approaches. This allowed us to detect and quantify complex ethological behaviors (like supported vs. unsupported rearing) with human-like accuracy, thus vastly outperforming commercial systems.

    Prikaži ovu nit
    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·