Björn Lindström

@B_Lindstroem

Researcher at University of Amsterdam. Social learning, computational modeling, reinforcement learning mechanisms in social behavior.

Vrijeme pridruživanja: veljača 2017.

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  1. Prikvačeni tweet
    11. srp 2019.

    Can social media engagement be explained by reward learning? Yes! In our new preprint (w. ), we use RL modeling to explain the posting behavior of 4000+ individuals on several social media platforms: summary follows: (1/7)

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  2. proslijedio/la je Tweet
    prije 22 sata

    Absolute pleasure to write this paper with Drew, Weilun and Peter.

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  3. proslijedio/la je Tweet
    4. velj

    Post doc position open at our new lab site! Topic: , , . Opening for fully funded Ph.D. position on the same topic coming later this spring.

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  4. proslijedio/la je Tweet
    4. velj
    Odgovor korisnicima i sljedećem broju korisnika:

    Not yet, but will look into it! We discussed this very cool paper by and and co:

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  5. proslijedio/la je Tweet
    3. velj

    First preprint from the lab with on pharmacological modulation of observational threat learning: GABAergic enhancement decreases expectancy of the aversive outcome, but no support for an effect of Yohimbine. via

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  6. proslijedio/la je Tweet
    31. sij

    Thrilled to publish a new paper on problematic social media use and decision making with the Balloon Analogue Risk Task. With & Ceylan Özdem and David Freestone!!

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  7. proslijedio/la je Tweet
    29. sij

    Breaking human social decision making into multiple components and then putting them together again An up-to-date review of the current state of knowledge in the domain of social computational neuroscience.

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  8. proslijedio/la je Tweet
    28. sij

    [New in PNAS] , , Stier, and show evidence that, contrary to the “filter bubble” hypothesis, people are exposed to a diversity of news in online contexts

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  9. proslijedio/la je Tweet
    27. sij

    I put together an "intro to theory" reading list here. If you have any suggestions what else should be on there, please let me know.

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  10. proslijedio/la je Tweet

    Shunting activity at the start of a reward-predicting cue prevents second-order conditioning without affecting blocking, indicating that cue-evoked transients function as temporal-difference prediction errors rather than reward predictions

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  11. proslijedio/la je Tweet
    21. sij

    Positions still available for a postdoc in my lab at NIH! We’ve got a great track record of placing postdocs in faculty positions, funding is guaranteed, and we have access to fantastic resources. See link in thread below, and please reach out if you’re interested!

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  12. proslijedio/la je Tweet
    14. sij

    New paper, with and : "Reinforcement learning in social interaction: The distinguishing role of trait inference" We examine differences in reinforcement learning across social versus non-social interactions.

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  13. proslijedio/la je Tweet
    11. sij

    New pre-print: "The Face Value of Feedback: Facial Behavior is Shaped by Goals and Punishments in Interactive Dyads". Work led by grad student Jonathan Yi (not on tw), together with (1/5)

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  14. proslijedio/la je Tweet
    11. sij

    Very happy to have this out! Dopamine transients produce learning about antecedent cues, without making those cues valuable. Thread below summarizes our key points👇 Particularly proud as I spent experiment 3🤮 in a bin between squads while pregnant 😂

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  15. proslijedio/la je Tweet
    9. sij

    In the inaugural edition of of Dev Psych I describe how the processes by which children acquire and transmit the cumulative culture of their communities provide insight into the evolution and ontogeny of cognition and culture. 📸

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  16. proslijedio/la je Tweet
    9. sij

    Want to feel old? There's fewer years between Pavlov (1927) and Rescorla-Wagner (1972), than between RW and today.

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  17. proslijedio/la je Tweet
    6. sij

    Grudges before gratitude: Retaliation comes naturally to children, while positive reciprocity must be learned, says cognitive scientist in new study. ➡️

    , , i još njih 4
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  18. proslijedio/la je Tweet
    6. sij

    A neurocomputational model for intrinsic reward. New preprint showing subjective value of experiences can be quantified from affective dynamics. Intrinsic vs extrinsic reward impacts correlate with vmPFC activity

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  19. proslijedio/la je Tweet

    New paper accepted in Current Directions , with : "A value-based framework for understanding cooperation" Pre-print: 1/3

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  20. 23. pro 2019.

    Honored to be named a Rising Star by APS ! Thanks to and

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  21. proslijedio/la je Tweet
    20. pro 2019.

    Paper with on controllability and Pavlovian biases is out! We show that when rewards are less controllable, Pavlovian bias on action selection is stronger, consistent with a new normative analysis.

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