Filip Melinscak

@fmelinscak

Wearer of many hats. Cognitive science, psychoinformatics, methodology, meta-science. PostDoc at .

Vrijeme pridruživanja: prosinac 2015.

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  1. Prikvačeni tweet
    17. sij

    Got a new paper out in (w/ ) showing that algorithmically optimizing associative learning experiments may substantially increase inference accuracy. Similar approach could be used in other learning/decision making exp. paradigms.

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  2. proslijedio/la je Tweet
    28. sij

    And it is finally out :) You can read the final version online in PNAS: Thanks again to everyone who helped making it happen!

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  3. proslijedio/la je Tweet
    29. sij

    "Improving the reproducibility of science" The first Reproducibility Note with has just been published in the Feb 2020 issue of magazine

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  4. proslijedio/la je Tweet
    9. pro 2019.

    Only 5 days left to register for the CRS workshop “Design and Analysis of Replication studies” in Zurich on January 22 (tutorial), 23-24 2020! Among the speakers are , ,

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  5. proslijedio/la je Tweet
    3. pro 2019.

    This Thursday Dec 5 at 16:00 (HIT E03) with Flexible Yet Fair: Blinding Analyses in Experimental Psychology. by G Dutilh, A Sarafoglou, and EJ Wagenmakers For the full fall semester schedule see

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  6. proslijedio/la je Tweet
    2. pro 2019.

    A new, and hopefully improved, version of our manuscript "Uncertainty in learning, choice and visual fixation" with J. Orquin, P. Dayan, R. Dolan & is out and about. Hopefully it will be published soon :) You can also find it at

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  7. 25. stu 2019.

    Had a great time visiting a few days ago. Gave a talk on improving computational psychiatry using algorithmically optimized experiments/tasks () and enjoyed the thought-provoking discussions before/after the talk.

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  8. proslijedio/la je Tweet
    2. stu 2019.

    I recently submitted my first paper "Probabilistic forecasting of replication studies" together with , a preprint is available at I appreciate comments and suggestions

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  9. proslijedio/la je Tweet
    14. lis 2019.

    New paper out in ! (w/ , Peter Dayan & Ray Dolan) We show bidirectional relationships between learning processes and visual attention👁️ in aversive environments⚡️ Paper📰: Tweet summary 👇 1/8

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  10. proslijedio/la je Tweet
    29. lis 2018.

    New paper our in Int J of Psychophys on data analysis strategies for psychophysiological measures of fear conditioning and extinction with Luke Ney and colleagues at Tasmania, Kim Felmingham at Melbourne, and young of

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  11. proslijedio/la je Tweet
    7. ruj 2018.

    New tutorial review from the lab: what is psychophysiological modelling, why/when one should use it, and how does it work? Covers PsPM (matlab toolbox) and related approaches, for pupil size, SCR/EDA, ECG, respiration, startle eye-blink EMG.

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  12. proslijedio/la je Tweet
    11. svi 2018.

    Bayesian adaptive experiment design from - massive, massive efficiency increase in trial:information gain ratio. The future

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  13. proslijedio/la je Tweet
    22. tra 2018.
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  14. proslijedio/la je Tweet
    22. velj 2018.

    Registered Reports () Special Initiative at NeuroImage: Upcoming Special Issue. Editors Pia Rotshtein, Birte Forstmann & Kevin Murphy. Launch date in April. More details soon.

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  15. proslijedio/la je Tweet
    3. stu 2017.

    The new supervillain in the hit video game Overwatch is literally a scientist who turned evil after others failed to replicate her results

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  16. 29. lis 2017.
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  17. proslijedio/la je Tweet
    15. tra 2017.

    Preprints/papers in and now indexed in Google Scholar.

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  18. 15. tra 2017.

    The 20% Statistician: Five reasons blog posts are of higher scientific q...

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  19. proslijedio/la je Tweet
    31. ožu 2017.

    New with Peter Dayan: using decision theory to analyse emotions, and to reconcile diverging theories in the field.

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  20. 14. ožu 2017.

    Advantages of EEG phase patterns for the detection of gait intention in healthy and stroke subjects via

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