Ben Deen

@bmhdeen

Postdoc in neuroscience at , studying primate social cognition

New York, NY
Vrijeme pridruživanja: listopad 2017.

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  1. Prikvačeni tweet
    14. velj 2019.

    1/ New paper with is out today! We characterize representations in a brain region (fSTS) that responds selectively to perceived face movements

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  2. 10. lip 2019.

    Humans have regions of auditory cortex that respond specifically to pitched sounds, common in speech and music; macaques seem not to have such regions. Very cool paper!

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  3. 14. velj 2019.

    7/ The study was formally preregistered with ( and ) - our first time preregistering an fMRI study. Coming up with a complex, hierarchical analysis strategy before seeing any data was challenging but rewarding.

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  4. 14. velj 2019.

    6/ We conclude that fSTS contains an intermediate representation of others’ face movements, that is sufficiently abstract to generalize across low-level visual properties, but still more tied to movement kinematics than implied emotional state.

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  5. 14. velj 2019.

    5/ Parts-based representations were observed in spite of behavioral evidence that the complex face movements we presented were indeed processed holistically - they elicit a composite effect.

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  6. 14. velj 2019.

    4/ We present evidence that these representations are parts-based: the pattern of response to a complex face movement can be well modeled as a linear combination of patterns of response to the isolated eye movement, and the isolated mouth movement.

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  7. 14. velj 2019.

    3/ These representations generalize across small differences in visual position, as well as different human avatars performing the expression

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  8. 14. velj 2019.

    2/ We find that patterns of activity in fSTS can be used to decode what facial expression you’re perceiving - e.g., a smile, frown, brow-raise, etc

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  9. 28. pro 2018.

    Looking through the most-discussed papers of 2018...no systems neuroscience this year, but there's a bunch of cool stuff

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  10. proslijedio/la je Tweet

    if you're wondering why American democracy seems to have decayed so quickly, the graph below gives a big part of the story. When groups hate each other, they more easily believe that the ends justify the means. (From new Hetherington & Weiler book: )

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  11. 28. ruj 2018.

    I think this take is probably wrong. Motivated reasoning is powerful…if we want to believe something, it’s not hard to cherrypick evidence that supports it. The more nuanced (still disturbing) take is that the two sides are genuinely experiencing rather different realities.

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  12. proslijedio/la je Tweet

    Inspired by comment: "What has fMRI uncovered about the human brain...? And I mean really uncovered, like we wouldn’t otherwise know “x”, “x” is almost certainly true, and “x” has far-reaching implications." - Please post your thoughts here (as I will in thread)

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  13. 27. ruj 2018.
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  14. 20. ruj 2018.

    Octopuses on MDMA are more prosocial and engage in “exploratory contact”...whoa

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  15. proslijedio/la je Tweet

    It's a very, very big deal that Dem insurgents are going to knock off six or seven state senators. Cuomo is the headline, but the caucus that kept the GOP in control of the state senate has been decapitated.

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  16. proslijedio/la je Tweet
    12. ruj 2018.

    This is great news, poverty is down, median household income is up. But it is worth pausing to notice that with 3.9% unemployment we still have 1 in 8 households in poverty.

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  17. proslijedio/la je Tweet
    27. kol 2018.

    We replicated 21 social science experiments in Science or Nature. We succeeded with 13. Replication effect sizes were half of originals. All materials, data, code, & reports: , preprint , Nature Human Behavior

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  18. proslijedio/la je Tweet
    5. srp 2018.

    Watch from IBM Research explain computing in terms anyone can understand:

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  19. 25. svi 2018.

    5/ Karim Rajaei et al. show that AlexNet performs worse than humans under occlusion, but a model with recurrent connections recovers this deficit

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  20. 25. svi 2018.

    4/ Nicholas Baker et al. show that a standard CNN performs better on object silhouettes with global shape scrambled than with local scrambling, unlike humans

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