Erie Boorman

@ErieBoorman

cognitive and computational neuroscientist, football (soccer) lover, snowboarder and world traveller

Vrijeme pridruživanja: lipanj 2016.

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  1. proslijedio/la je Tweet
    22. sij
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  2. proslijedio/la je Tweet
    15. sij

    Distributional reinforcement learning (RL) algorithms predict the entire ‘distribution’ of future rewards not just the average and improve the AI performance. This work presents evidence that the brain’s dopamine system uses distributional RL.

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  3. proslijedio/la je Tweet
    7. sij

    Very excited about our new paper: "Ventromedial prefrontal cortex compression during learning". vmPFC coding akin to goal-directed dimensionality reduction and tracks attention weights from learning models.

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  4. proslijedio/la je Tweet
    7. sij

    Interested in doing a PhD on the computational neuroscience of mental health? Only few more days to apply for this fantastic PhD programme: If you fancy me as your supervisor - please get in touch.

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

    ! Have you ever wanted to learn about spatial and non-spatial hippocampal function, especially in primates? We look at single neurons + ensemble activity across tasks during virtual navigation in a new paper with in 1/

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    17. pro 2019.

    UC Davis Sustains Its Top GreenMetric Rankings | UC Davis

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    Application is now open for the 2020 Kavli Summer Institute in Cognitive Neuroscience, jointly run by UC Davis and UC Santa Barbara. Deadline Jan 31, 2020. Plz retweet

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

    Are you skeptical about successor representations? Want to know how our new model can learn cognitive maps, context-specific representations, do transitive inference, and flexible hierarchical planning? ...(1)

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    2. pro 2019.

    Structural knowledge allows participants to infer unobserved transitions and beneficial policy. Basis sets for structural knowledge allow these inferences by generalising over task particularities. by me Thomas Parr Steve Kennerley

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    A common model explaining flexible decision making, grid fields and cognitive control

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

    Our study with , Mariateresa Sestito and on neural computations underlying strategic social decision-making in groups is out today in Here is the summary.

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

    Our latest from . Using a "task remapping" paradigm, we show reinforcement learning problems are abstracted, and these abstract representations can be generalised to new problems.

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  13. proslijedio/la je Tweet
    29. lis 2019.

    How do decision-making and emotion intersect? What might tools from psychology, neuroscience, or economics have to teach us about value and choices? Do your Psychology PhD with us at to find out! ⚖️🧠💵 Apps due 12/1. For more ->

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  14. 29. lis 2019.
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  15. 29. lis 2019.

    Very proud of the 1st from our LDM group with , Douglas Miller & Map making: Constructing, combining, and navigating abstract cognitive maps | bioRxiv

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    21. lis 2019.

    Tenure Track jobs in Computer Science at McGill!!! Come join us!

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  17. 19. lis 2019.

    I'm looking for a PhD student for my lab in fall 2020. Excited about combining computational modelling with fMRI and iEEG to study learning and decision making? Contact me at . PhD Dec 1 deadline . Please RT!

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  18. proslijedio/la je Tweet
    19. lis 2019.

    Out at for - if any wants to chat about open source, neuroscience, or imaging get in touch! I can also demo a new multi-dimensional image viewer for python i've been working on with , , and others

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

    Postdoc positions open! With me & Francesca Cacucci, based at , on flexible neural representations in hippocampus & EC, in collab with and Mark Walton - neuropixels, VR, 2-photon.. Informal queries welcome, or apply:

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    10. lis 2019.
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