Casey McGinnis

@McGinnis_Casey

Undergraduate interested in cognition and BCIs

Vrijeme pridruživanja: studeni 2015.

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  1. proslijedio/la je Tweet
    2. sij

    (1) tuning fork vibrates (2) nearby air molecules vibrate (3) this causes other nearby air molecules to vibrate & so on.. (4) vibrating air wiggles other tuning fork (5) ball goes boop

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  2. proslijedio/la je Tweet
    14. sij

    Neural Dendrites Reveal Their Computational Power | Excellent report on new research by and ⁦⁩ by w quotes from ⁦⁩ and myself

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

    Just reorganized and uploaded all the TensorFlow and PyTorch models and methods I implemented for teaching in a fresh GitHub repo -- 80 Jupyter notebooks in total :)

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  4. proslijedio/la je Tweet

    Learn how to achieve 13x speedup and 11x throughput vs CPU on Wide & Deep recommender model using Inference SDK in new blog.

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

    Quantum computing is coming! Get a (very simple) taste of how quantum computer programs modify bits of information in this interactive

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

    Every time the topic of sex, gender and whether they're binary is brought up, I'm reminded of this excellent piece by that gets at the nuance of what these terms actually mean

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  7. proslijedio/la je Tweet
    10. pro 2019.

    Excellent rundown of the revolution in behavioral tracking and analysis occurring in neuroscience right now

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  8. proslijedio/la je Tweet
    17. lis 2019.
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  9. proslijedio/la je Tweet

    New on SCGB news: Seemingly meaningless movements produce widespread activity in the cortex. How might the brain use this information? by , featuring work by , , , ,

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  10. proslijedio/la je Tweet
    14. stu 2019.

    After nearly two years, our paper on the apparent falsification of China's official organ donor registry data has been published! We used statistics to unravel state data manipulation. I believe the findings are both fascinating and important. (Thread...)

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  11. proslijedio/la je Tweet

    This snake knows how to hijack your visual system - oppositely drifting gratings - big ol' mouth - looming stimulus as it bites you

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  12. proslijedio/la je Tweet

    Peak Japanese motivational poster

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  13. proslijedio/la je Tweet
    1. pro 2019.

    Ever wondered what is sound? How does it get stored inside the computer? I try to answer these and similar questions in this repository + make your computer sound like a violin / harpsichord, play sounds directly from NBs, and more!

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  14. proslijedio/la je Tweet
    15. stu 2019.

    Ever wondered what would happen if 70 different groups analyzed the same fMRI dataset? The pre-print of our project is out ! 1/9

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  15. 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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  16. proslijedio/la je Tweet
    1. lis 2019.

    We've turned our "Machine learning for neural decoding" paper into a tutorial. Check it out! w/ And our code package:

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

    Lab's latest out in : "Discovering the Computational Relevance of Brain Network Organization". Unifies bio. & artificial neural nets via activity flow. Network coding models simulate how cognition emerges via connectivity. (1/7)

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  18. proslijedio/la je Tweet
    13. stu 2019.

    Research efforts in computer vision and are on the rise. To accelerate 3D research, NVIDIA releases Kaolin as a PyTorch library. See how researchers use Kaolin to move 3D models into the realm of neural networks.

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

    Two blog posts in as many days cos I'm a monster. I just wanted to have my thoughts on the whole Correspondence Theory of Truth in the Culture War thing down in one place, so now I can reference this when the matter comes up.

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  20. proslijedio/la je Tweet

    Gradient descent will take any shortcut available to map inputs to targets. Human perception works differently: it starts from a different input (embodied stream vs static images), it doesn't have a target for each input, and it isn't trained with SGD.

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