Payam Piray

@payampiray

Neuroscientist @ princeton university interested in understanding mental (dys)functions!

New York, USA
scholar.princeton.edu/payampiray
Vrijeme pridruživanja: siječanj 2018.
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  1. proslijedio/la je Tweet
    3. velj

    TCPW tomorrow - Stefano Palminteri on State-dependent valuation and confirmatory biases in learning from rewards and punishments. 4pm UTC - join online .

    1 reply 7 proslijeđenih tweetova 18 korisnika označava da im se sviđa
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  2. proslijedio/la je Tweet
    23. sij

    Thank you for an excellent talk on Hierarchical Bayesian Inference for concurrent model fitting and comparison. The talk is now available online: along with many others.

    1 reply 5 proslijeđenih tweetova 23 korisnika označavaju da im se sviđa
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  3. proslijedio/la je Tweet
    17. sij

    On November 14th 2019, 1200+ neuroscientists petitioned the Society for Neuroscience leadership to address the and our community’s role in responding. We are still looking waiting for a promised response and plan of action from SfN.

    6 replies 87 proslijeđenih tweetova 97 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    20. sij

    Hierarchical Bayesian inference for concurrent model fitting and comparison for group studies - join us for online talk by this Thursday 23rd Jan at 4pm UTC

    15 proslijeđenih tweetova 34 korisnika označavaju da im se sviđa
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  5. proslijedio/la je Tweet
    27. stu 2019.

    From us to you: something to discuss instead of politics at your Thanksgiving dinner. A new theory of planning from , which is chock full of ideas and implications and connections and solutions to problems I hadn't actually realized were problems.

    A common model explaining flexible decision making, grid fields and cognitive control
    1 reply 43 proslijeđena tweeta 126 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    19. stu 2019.

    Exciting new TCPW talk schedule with , Hugo Geerts, Daniel Schad, Greg Hajcak and more to come.

    14 proslijeđenih tweetova 30 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    12. stu 2019.

    How we differ in learning from experience shapes how we develop different values, beliefs and behaviours. See our paper lead by Daniel Schad examining a neural and computational basis for this .

    Korisnici , , i
    47 proslijeđenih tweetova 82 korisnika označavaju da im se sviđa
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  8. proslijedio/la je Tweet
    24. ruj 2019.

    Post doc position in my ERC funded research at - - . Human threat avoidance, immersive VR, motor trajectories, computational models, ML, MEG/OPM - thrilled? Deadline 17. Oct. Please RT.

    48 proslijeđenih tweetova 33 korisnika označavaju da im se sviđa
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  9. proslijedio/la je Tweet
    26. kol 2019.
    Odgovor korisnicima

    What great advice! i would add that it is your job to foster the careers of your graduates and postdocs. Choose the ones who have ideas, especially if the are different from your own.

    1 reply 3 proslijeđena tweeta 7 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    26. kol 2019.
    Odgovor korisniku/ci

    Here’s what I came up with a few years ago

    11 proslijeđenih tweetova 85 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    19. kol 2019.

    (1/3) “How do I recruit grad students?” is a question I’ve been asking myself and colleagues a lot lately. We decided that there should be a psych grad school wiki just like there is for jobs. So without further ado…

    29 replies 324 proslijeđena tweeta 529 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    17. kol 2019.

    Do you get excited by the idea of using innovative techniques to study how human minds connect during ? Please get in touch as I'll be recruiting students/postdocs to start Fall 2020 in my new lab at [RT's appreciated]

    5 replies 97 proslijeđenih tweetova 177 korisnika označava da im se sviđa
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  13. proslijedio/la je Tweet
    8. kol 2019.

    last bit of my PhD and my first fMRI paper with and is now on bioRxiv

    11 proslijeđenih tweetova 32 korisnika označavaju da im se sviđa
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  14. proslijedio/la je Tweet
    29. srp 2019.

    Thrilled to share our preprint from my PhD work. We show how concurrent task-sets can be implemented from unsupervised Hebbian plasticity in a network model, and how the mechanism is validated by behavioral performance, reaction times, and neural data.

    1 reply 14 proslijeđenih tweetova 64 korisnika označavaju da im se sviđa
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  15. proslijedio/la je Tweet
    18. srp 2019.

    Are higher cortical areas more plastic? It turns out not to be the case: there is a non-monotonic relationship, such that plasticity decreases from early to mid-level visual cortex, and then increases further of the visual hierarchy.. & Beckmann

    39 proslijeđenih tweetova 94 korisnika označavaju da im se sviđa
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  16. proslijedio/la je Tweet
    10. lip 2019.

    Can we extract some "meaningful" and "disentangled" characteristics of individuals by just letting them play an n-armed bandit game?

    Disentangled behavioral representations
    1 proslijeđeni tweet 3 korisnika označavaju da im se sviđa
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  17. 16. srp 2019.

    My latest preprint with : a transparent and simple model of learning under volatility. Compared with the state of the art, the model is algorithmically simpler, computationally more accurate, and empirically more parsimonious.

    55 proslijeđenih tweetova 123 korisnika označavaju da im se sviđa
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  18. proslijedio/la je Tweet
    18. lip 2019.

    Our new paper out now in 'Altered learning under uncertainty in unmedicated mood and anxiety disorders'. Very pleased with this one! (thread to follow!) 1/

    7 replies 83 proslijeđena tweeta 208 korisnika označava da im se sviđa
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  19. 19. lip 2019.

    The proposed method also improves parameter estimation accuracy over existing hierarchical model fitting methods. The code and a how-to-use manual here. its core statistical inference is variational, so way faster than sampling-based methods, such as Stan.

    1 proslijeđeni tweet 3 korisnika označavaju da im se sviđa
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  20. 19. lip 2019.

    Our new work, hierarchical Bayesian inference. with @AmirDezfouli, Tom Heskes, Michael Frank, just came out. we tackle two major problems of existing methods: conservative bias towards simplistic models and sensitivity against outliers.

    46 proslijeđenih tweetova 89 korisnika označava da im se sviđa
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