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computingnature's profile
Carsen Stringer
Carsen Stringer
Carsen Stringer
@computingnature

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Carsen Stringer

@computingnature

neuroscientist @HHMIJanelia, thinking about thinking, 🔬#suite2p | diversity and open-science for better science | Ⓥ | she/her

Ashburn, VA
gatsby.ucl.ac.uk/~cstringer
Joined June 2016

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    Carsen Stringer‏ @computingnature 22 Jun 2019
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    Story time! Single neurons in the brain can’t be depended on for reliable information. Here are some neurons from our recent study, recorded twice in response to the same visual stimuli. Different neurons are active at different times! https://www.biorxiv.org/content/10.1101/679324v1 …pic.twitter.com/BmAAkxyb3M

    12:13 PM - 22 Jun 2019
    • 726 Retweets
    • 2,064 Likes
    • Tushar Arora Rebeca Mihai Todor Anup Khanal ReJ 🚀 Athens Global Game Jam (Renaldas Zioma) David Solecki Lab akihito_k HubDiscovery | HubBuket Climate Change and Health HubBucket HealthIT MedTech mHealth
    38 replies 726 retweets 2,064 likes
      1. New conversation
      2. Carsen Stringer‏ @computingnature 22 Jun 2019
        • Report Tweet

        Ask a neuron what angle the corner of your screen makes and it will say 75 degrees right now, 100 degrees in 5 minutes, and some other random number close to 90 every time you ask.pic.twitter.com/5Uq8fb7U9c

        1 reply 6 retweets 35 likes
        Show this thread
      3. Carsen Stringer‏ @computingnature 22 Jun 2019
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        That is not how a computational device should work! Imagine if your calculator gave different answers every time...pic.twitter.com/58dqNwlzkh

        2 replies 3 retweets 27 likes
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      4. Carsen Stringer‏ @computingnature 22 Jun 2019
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        This makes our lives as neuroscientists hard. Single measurements of neurons are not reliable (gray dots), and we need to repeat the measurements many times to average out the noise (black line).pic.twitter.com/N7WXNcuix6

        3 replies 7 retweets 48 likes
        Show this thread
      5. Carsen Stringer‏ @computingnature 22 Jun 2019
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        Maybe, we thought, the brain uses some kind of averaging over its millions of noisy neurons to get a clean estimate of what it’s looking at.pic.twitter.com/jzTSA9kyK0

        3 replies 6 retweets 38 likes
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      6. Carsen Stringer‏ @computingnature 22 Jun 2019
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        If that was true, there would be “magical” combinations of neurons, which averaged would give just the right answer.

        2 replies 4 retweets 25 likes
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      7. Carsen Stringer‏ @computingnature 22 Jun 2019
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        Can we find these “magical” combinations by looking at the brain while it’s looking at our images? We used a microscope to record the activity of ~20,000 neurons simultaneously. Here is all of them from one session in random colors.pic.twitter.com/iaNkGRUZCD

        1 reply 8 retweets 36 likes
        Show this thread
      8. Carsen Stringer‏ @computingnature 22 Jun 2019
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        We used linear regression to find weights for each neuron that combine their activities into “super-neurons”.pic.twitter.com/Rxepy0oB69

        3 replies 8 retweets 42 likes
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      9. Carsen Stringer‏ @computingnature 22 Jun 2019
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        These super-neurons were much less noisy than single neurons. In fact, the super-neurons could tell the difference between 45 and 46 degrees on 95% of the test trials. Can you?pic.twitter.com/wuueSaanHH

        4 replies 7 retweets 58 likes
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      10. Carsen Stringer‏ @computingnature 22 Jun 2019
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        Imagine asking a mouse to distinguish such small differences... Our colleagues in @BenucciLab actually tried! The mouse could only tell apart angle differences of 29 degrees, which was about 100 times worse than the neurons.pic.twitter.com/MeXXVeiWma

        1 reply 5 retweets 36 likes
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      11. Carsen Stringer‏ @computingnature 22 Jun 2019
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        Even for humans it’s difficult, but I bet you can see the difference if I make the pictures into a movie.pic.twitter.com/S7nfZEpGbP

        3 replies 3 retweets 36 likes
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      12. Carsen Stringer‏ @computingnature 22 Jun 2019
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        We conclude that mice have a lot of information in their brains, which are 1000x smaller than ours.pic.twitter.com/xVxz0TW5cB

        2 replies 5 retweets 33 likes
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      13. Carsen Stringer‏ @computingnature 22 Jun 2019
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        They can’t communicate this information to us, but that does not mean they don’t use it, for example as a first step to another computation.pic.twitter.com/9xxfVQ7nPW

        1 reply 5 retweets 39 likes
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      14. Carsen Stringer‏ @computingnature 22 Jun 2019
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        We hope to find out in the future what these other computations might be.

        2 replies 4 retweets 24 likes
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      15. Carsen Stringer‏ @computingnature 22 Jun 2019
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        We publicly shared the data and code from this paper if anyone wants to dig further. data:https://figshare.com/articles/Recordings_of_20_000_neurons_from_V1_in_response_to_oriented_stimuli/8279387 … code:https://github.com/MouseLand/stringer-et-al-2019 …

        2 replies 16 retweets 139 likes
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      16. Carsen Stringer‏ @computingnature 22 Jun 2019
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        The End.

        10 replies 2 retweets 75 likes
        Show this thread
      17. End of conversation

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