Vikram Vijayan

@vikram0285

Scientist using fruit flies to study mechanisms generating behavior. Neuroscience | PhD Harvard | Currently Postdoc Rockefeller | Check out my twitter media!

New York, NY
Vrijeme pridruživanja: studeni 2011.

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  1. Prikvačeni tweet
    15. srp 2019.

    A fruit fly walking on an agarose laiden treadmill deciding where to lay her eggs! She clearly prefers laying eggs on the green option. Her body is held with a pin to keep her in place allowing for brain activity measurements as well as quantitative behavioral analysis.

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  2. 2. velj

    (3/3) If this method is ready for prime time it will be a great compliment to the more detailed imaging that is possible in head fixed fly preperations.

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  3. 2. velj

    (2/3) Since we can often label just a few neurons in the fly brain (w/ GCaMP), it may be possible to get reasonable cellular level imaging in freely moving flies with this setup (no need to worry about getting fluorescence from the 'wrong' neurons).

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  4. 2. velj

    (1/3) Improvements on a method to image neural activity in freely moving flies!

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  5. proslijedio/la je Tweet
    27. sij

    Amazing: a termite track (top) and an ant track (bottom) • each travelling insect is protected by its own column of soldiers, no fights necessary | 📹 via Mehdi Moussaid

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  6. proslijedio/la je Tweet
    27. sij
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  7. 26. sij

    Finally a retrograde tracer in fruit flies! Will be an interesting complimentary technique to the EM. May help see fly to fly differences or changes over time/state that we cannot see from the EM of a single fly.

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  8. 25. sij

    What caused the large jump in 'fruit fly neuroscience' papers in 2013? I'm guessing it was the release of the GMR gal4 lines by for genetic targeting of subsets of neurons. I wonder if we will get a similar jump from the recent EM reconstruction release...

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  9. proslijedio/la je Tweet
    22. sij

    Many of you already know that I have end stage kidney disease. I'm taking the next step and I'm asking whether someone out there is willing to help save my life. I need a kidney. This is my daily dialysis routine 1 hr time lapse (not including sleep). 1/n

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  10. 22. sij

    On the other hand, 'drosophila neuroscience' appears to be on the rise!? The plateau in PubMed matches for 'drosophila' alone (see previous post) may be due to a decline in non-neuroscience related drosophila research. I wonder what the inflection around 2014 is from? 🤔

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  11. 21. sij

    Are fruit fly researchers now the underdogs? More 'zebrafish' PubMed hits than 'drosophila' in 2019... and it dosen't look like it's going to stop. Note: At least 'C elegans' is still way behind

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  12. 21. sij
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  13. proslijedio/la je Tweet
    19. sij

    So, you’re a fly. You’re trapped in larval skin, which hardened into a cocoon around you. How do you escape? Time to inflate your trusty FACE BALLOON! Use your “ptilinum” (pronounced til-lie-numb). That fleshy sac you can pump body fluid into and pop out of your face!

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  14. proslijedio/la je Tweet
    19. sij

    Resource from ⁦⁩ with transcriptomes for 100 driver lines covering 67 cell types in the fly brain -

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  15. proslijedio/la je Tweet
    19. sij

    I’m troubled by how many creative scientists are stuck in a holding pattern in a loveless postdoc or dead-end PhDs instead of starting their own companies. What do you think the primary barrier is to scientific entrepreneurship?

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  16. proslijedio/la je Tweet
    18. sij

    A game-changing paper for Drosophila sys neuro

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  17. proslijedio/la je Tweet
    17. sij

    Your friendly reminder that slime molds are FREAKIN' CRAZY. Captured in the . 5x objective, 1min time points, ~17h condensed into 40seconds

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  18. 17. sij

    (5/5) Would be quite interesting if this is true and the sequence remains the same on all trials but the speed at which the sequence is accomplished dictates action timing!

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  19. 17. sij

    (4/5) My interpretation is that a sequence of stepping (not ramping) neurons create a population 'ramp' prior to turn initiation. The slope of this 'ramp' (dictated by how fast the population is engaged) as well as the ipsi-contra differences can predict timing and direction.

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  20. 17. sij

    (3/5) The analysis in this paper makes it a bit difficult to intuit the activity profiles of individual neurons (activity is shown as demixed principle components of a large cluster of neurons).

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  21. 17. sij

    (2/5) These same dynamics do not exist in spontaneous turns -- turns that are unrelated to the task.

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