Sonia Poltoratski

@soniapolt

neuroscience postdoc, and yes, i can probably read your mind.

Vrijeme pridruživanja: ožujak 2009.

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  1. Prikvačeni tweet
    27. srp 2018.

    what if calculating perception is literally your job :'‑(

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  2. 19. pro 2019.
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  3. 26. stu 2019.

    see, this state just gets me.

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  4. proslijedio/la je Tweet
    23. stu 2019.

    New paper: Deep net models have many parameters, which enable them to flexibly fit data. As a result, qualitatively different models can make similar predictions. How then can we adjudicate among deep nets as models of human perception? 1/10

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  5. 13. ruj 2019.

    hashtag jetlag, but I’m thrilled to be in Berlin for 🧠 📊👩‍💻

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  6. proslijedio/la je Tweet
    9. srp 2019.

    Some observers see red in front of blue, while others see blue in front of red. (chromostereopsis)

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  7. proslijedio/la je Tweet
    22. lip 2019.

    I'm looking to hire an NSF funded post-doc to do some neuroimaging experiments on visual awareness. Know anyone who might be interest? Send them my way! Especially at !

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  8. proslijedio/la je Tweet
    20. lip 2019.

    If you want to learn how to code, there are tons of tutorials on YouTube—but only a few star a drag queen in a candy-colored wig. Meet Anna Lytical, a drag persona dreamed up by Google software engineer Billy Jacobson →

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  9. 18. lip 2019.

    an open-source link to our new paper, 'Figure-Ground Modulation in the Human Lateral Geniculate Nucleus Is Distinguishable from Top-Down Attention': and a very thoughtful dispatch on it by Self & Roelfsema:

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  10. 12. lip 2019.

    It's fascinating to think of the implications of this kind of complex recurrent processing at the very earliest stages of the visual system! (/end)

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  11. 12. lip 2019.

    a comparison of orientations across space. In a second experiment, we used a clever manipulation to show that it's likely that feedback connections from cortex to the LGN provide this figure information. (5/N)

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  12. 12. lip 2019.

    the LGN, the small subcortical structure that relays information from the eyes to the brain, is sensitive to orientation-defined figures. This is surprising because neurons in the LGN themselves are not really tuned to visual features like orientation, let alone (4/N)

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  13. 12. lip 2019.

    - things that are different in color, orientation, or depth from their surround often 'pop out' as objects. In this study, we showed that this sort of feature-driven enhancement of figures happens much earlier in the visual system than previously thought (3/N)

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  14. 12. lip 2019.

    Visual input enters the eye as a flat, 2d sheet of information - but we see a world that is separated into distinct objects and surfaces. One of the ways that the visual system tackles this problem is its sensitivity to differences in visual features (2/N)

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  15. 12. lip 2019.

    the LGN paper - my favorite bit of my dissertation work - is now online ! Figure-Ground Modulation in the Human Lateral Geniculate Nucleus Is Distinguishable from Top Down Attention

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  16. 21. svi 2019.

    Hi ! I’ll be presenting new work with and on how population receptive fields in the face network may constrain recognition performance by allowing ‘holistic’ integration across features - stop by poster 56.308 this afternoon!

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  17. proslijedio/la je Tweet
    16. svi 2019.

    Officially on my way to ! Come hear me talk about the structural and functional underpinnings of ventral and lateral face-selective regions @ 5:15PM on Saturday

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  18. proslijedio/la je Tweet
    13. svi 2019.

    Add one line of code to your Amazon Mechanical Turk task to help ensure that your workers earn a fair wage: . No technical approach solves this problem, but I hope that tools like this can help us hold ourselves to a high standard.

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  19. proslijedio/la je Tweet
    14. svi 2019.

    I like getting cover letters like this because you know immediately to throw them straight in the trash.

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  20. 7. svi 2019.

    not an ironic tweet, i love this so much.

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  21. 7. svi 2019.

    yelling 'camp!' and 'not camp!' at met gala looks is the discourse we need to unify this country.

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