Qihong Lu

@Qihong_Lu

use twitter to collect some readings; student &

Princeton, NJ
Vrijeme pridruživanja: studeni 2014.

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  1. proslijedio/la je Tweet

    By far the best introduction to probabilistic computation i have seen so far: I also love the juxtaposition of code and graphs. By /ht

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  2. proslijedio/la je Tweet
    31. sij
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  3. proslijedio/la je Tweet

    Reevaluating the Role of Persistent Neural Activity in Short-Term Memory, by Nicolas Masse, Matthew Rosen, & David Freedman

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  4. proslijedio/la je Tweet
    29. sij

    Today I will be teaching my undergrad course "How to build a brain from scratch" for the 2nd year running. I've put the materials online - include a document with all lecture slides and notes, which is about as long as a decent novel. Enjoy!

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  5. proslijedio/la je Tweet
    28. sij

    In “Artificial Intelligence, Values and Alignment” DeepMind’s explores approaches to aligning AI with a wide range of human values:

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  6. proslijedio/la je Tweet
    27. sij

    Now out in by Wang, Schoenbaum & Kahnt: Interactions between human orbitofrontal cortex and hippocampus support model-based inference.

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  7. proslijedio/la je Tweet
    20. sij

    Integration of New Information in Memory: New Insights from a Complementary Learning Systems Perspective

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  8. proslijedio/la je Tweet
    16. sij

    Excited to share what and I have been working on recently! We unify and generalize statistical models of neural dynamics during decision-making using switching state-space models

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  9. proslijedio/la je Tweet
    16. sij

    Sleeping with hippocampal damage New paper out today in w/ Maguire Lab, , Frederik Weber, , Conny McCormick, Tom Miller, &

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  10. proslijedio/la je Tweet
    16. sij

    The 1st paper of my PhD is out today in ! We show that word contexts can enhance letter representations in early visual cortex With , peter hagoort& Paper: TL;DR? Let me unpack it in a few (or so) tweets👇

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  11. proslijedio/la je Tweet
    16. sij

    How can we predict and control the collective behaviour of artificial agents? Classical game theory isn't much help when there are >2 agents. In our paper, we find markets impose useful structure on interactions between gradient-based learners:

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  12. proslijedio/la je Tweet

    Avoid Cohen’s ‘Small’, ‘Medium’, and ‘Large’ for Power Analysis Opinion by Joshua Correll, Christopher Mellinger, Gary McClelland, & Charles Judd

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  13. proslijedio/la je Tweet
    15. sij

    Excited to share the final version of our paper: BrainIAK tutorials for advanced fMRI analysis. Freely available tutorials and datasets at . Run these on local servers or on the cloud . 1/N

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  14. proslijedio/la je Tweet
    15. sij

    We worked with to show that distributional RL, a recent development in AI research, can provide insight into previously unexplained elements of dopamine-based learning in the brain. Read the blog: (2/2)

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  15. proslijedio/la je Tweet
    15. sij

    New prepint! We found that similar memories repel away from one another over learning such that they are remembered as further apart than they were experienced. These distortions were associated with reduced interference suggesting an adaptive mechanism.

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  16. proslijedio/la je Tweet
    10. sij

    All work and no play makes Jack a dull boy - our paper led by on the neurocinematics of fear is out in ! 37 subs, 1.5 hrs of data / each, internal replications and network & ISC analysis. What else could you ask for?

    , , i još njih 4
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  17. proslijedio/la je Tweet
    8. sij

    Here's a little spotlight paper in which and I discuss et al.'s recent work on the role of HPC in semantic search. We think about how contributions of HPC and cortex to semantic search might relate to diff kinds of conceptual reps!

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  18. proslijedio/la je Tweet
    7. sij
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  19. proslijedio/la je Tweet
    9. pro 2019.

    I'm thrilled to be starting my research group in at . Interested in deep learning theory and neuroscience? I'm looking for team members!

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

    two new preprints use very different methods: and but tell a similar story: how memories are separated and merged in the hippocampus depends on prior experience. thanks to authors

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