Will Hampton

@whhampton

Postdoc . Previously . Interested in reward-based decision making and human-computer interaction 🧠 💵📱

Vrijeme pridruživanja: ožujak 2016.

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  1. Prikvačeni tweet
    14. svi 2019.

    Check our new paper! "Wired to be connected? Links between 📱 technology engagement, intertemporal preference and frontostriatal white matter connectivity". Thanks coauthors + my co-first author Harry Wilmer.

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  2. proslijedio/la je Tweet
    27. sij

    How are human face-sensitive areas structurally connected and functionally interacted? Our new work now @NatureHumanBehav elucidates the connectome-basis of face processing.

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  3. proslijedio/la je Tweet
    8. lis 2019.

    A new opportunity for big impact, broadly interdisciplinary research on AI -- with emphases on how AI can help as many people as possible. We need innovators from the community to serve as core participants. Now is the time.

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  4. 11. stu 2019.

    Had a great time sharing some of our findings on mobile vibrations as rewards and generally basking in the interdisciplinary glow of community. Thanks to and everyone else who manifested this cool event.

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  5. proslijedio/la je Tweet
    11. lis 2019.

    We are looking to hire a postdoc in Decision Neuroscience at Fox School of Business, Temple University. Be a part of a vibrant and growing neuroecon community at Temple/Philadelphia

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  6. proslijedio/la je Tweet
    20. ruj 2019.

    When I finished my PhD in psychology they said “Nice perseverance” and gave me two marshmallows.

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  7. proslijedio/la je Tweet
    19. ruj 2019.

    New suggests that journal impact factor isn’t a great proxy for paper quality, with these figures showing associations of JIF and replication index (left) and stats errors (right)

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  8. proslijedio/la je Tweet

    Links between autobiographical memory richness and temporal discounting in older adults

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  9. 11. ruj 2019.
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  10. 5. kol 2019.

    Glad this is being pointed out on a broader forum "Computers can’t tell if you’re happy when you smile"

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  11. 26. srp 2019.

    Check out that spicy NAcc 🌶️🔥 ~43% of your nucleus accumbens activation is genetically determined. Cool twin study on reward processing.

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  12. proslijedio/la je Tweet
    22. srp 2019.

    Our new paper led by is out in ! We show that the neural representation of facial emotion expressions in visual face-processing regions reflects individual differences in people's conceptual understanding of emotion categories.

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  13. 12. srp 2019.

    Interesting advancement for AI involving hidden information and multiple players. Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker |

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  14. proslijedio/la je Tweet
    11. srp 2019.

    🤯 I had no idea that could be so beautiful! More generative art here:

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  15. proslijedio/la je Tweet
    6. lip 2019.

    BCFG conference at Wharton. - Habits are remarkably persistent. 52-week autocorrelation in behaviors > .5! - mobile interventions for gym visits. 53 treatments (proposed by teams), N = 62k. Some had large effects. - No enduring effects outside treatment window

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  16. 27. svi 2019.

    I made this slide for a workshop I'm teaching. The analogy is becoming less hyperbolic each day...

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  17. 24. svi 2019.

    Herzliche Glückwünsche Dr. Ngo!! Excited for you to be an *80 minute* flight away 👍🏼

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  18. 20. svi 2019.

    Nice. I'll cancel my appointment for a total cone-cell-ectomy then

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  19. 14. svi 2019.

    (6/6) And yes, we want to know the direction of causality as much as you do. Thanks for tuning in—FYI Twitter usage counts towards your mobile technology engagement score. Just sayin'.

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  20. 14. svi 2019.

    (5/6) This was exciting for a lot of reasons, but to me perhaps most because our results are the first evidence that individual differences in mobile phone use are reflected in the structural white matter connectivity of our brains.

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  21. 14. svi 2019.

    (4/6) You should read the paper (!), but our regression models suggest that ventral frontostriatal connectivity, age, and reward sensitivity, are all important factors in predicting 📱 tech use.

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