Dimitris Katsimpokis

@katsimpokis

PhD student interested in decision-making and statistical methods.

Vrijeme pridruživanja: siječanj 2019.

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  1. proslijedio/la je Tweet
    3. velj

    Decisions between >2 options are tricky. In our newest work, we could not replicate a previous “divisive normalization” or “distractor effect” in decisions btw 3 food snacks. But we found remarkable dynamic interactions between valuation & attention: (1/6)

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    Save the date: The 53rd Annual Meeting of the Society for Mathematical Psychology and the 18th Annual Meeting of the International Conference on Cognitive Modelling will gather jointly in Toronto, Canada, from July 25-28, 2020

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  3. 29. sij

    Happy to see our paper being published in CBB. We show that different speed-accuracy trade-off operationalizations map onto different components of the . Thank you Leendert and Guy for your support and guidance throughout this process

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

    I wrote this paper arguing that the inferential statistics we report in psychology papers are so disconnected from the hypotheses they're meant to test that they may as well be made up. feedback is appreciated.

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  5. proslijedio/la je Tweet
    16. sij

    New preprint out from our group (with Regina Weilbaecher and ) showing that one reason why memories bias value-based decisions is the uncertainty that (poor) memory entails. . Predictions preregistered (). One more sentence...

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    Highlights: 1. Data analysis using Julia by Phillip Alday. 2. Intro to Bayes by Jonah Gabry ( group) 3. Data visualization by . 4. Jennifer Tackett: keynote on Abandoning Stat Sig. 5. on individual diffs. 6. teaching LMMs and more

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  7. proslijedio/la je Tweet
    13. kol 2019.

    Our preprint is out, where we show that 7 Tesla MRI can be used to functionally measure distinct dopaminergic nuclei in human subjects, while they are engaging in a guessing task. Thanks to , Birte Forstmann and Jörg Rieskamp for the great supervision :)

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  8. proslijedio/la je Tweet
    28. srp 2019.

    In our commentary, and I argue that power analyses are as important for cognitive modeling as for any other area in psychology (perhaps even more). We suggest simulation-based approaches to tackle the difficulty of performing such analyses:

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