Edgar Bermudez

@viajesubmarino

Research Associate in Computational Neuroscience and Machine Learning

Lethbridge, AB, Canada
Vrijeme pridruživanja: veljača 2011.

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  1. Prikvačeni tweet
    22. stu 2019.

    Glad to share our work using to predict mov deficits in rodent models of stroke. The trained NN scored mov deficits with human-expert accuracy and predicted stroke volume better than mov comp defined by humans

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  2. proslijedio/la je Tweet
    2. velj

    This is the best thing you'll see today 😍

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  3. 4. velj

    Got it to work using neo in . I will post it as an example in case somebody is interested...

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  4. proslijedio/la je Tweet
    2. velj

    anybody has loaded files in python? i tried neo but seems not suitable for older versions < ver5? otherwise the file format/header specs? Thanks!

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  5. 2. velj

    anybody has loaded files in python? i tried neo but seems not suitable for older versions < ver5? otherwise the file format/header specs? Thanks!

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  6. 1. velj
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  7. proslijedio/la je Tweet
    31. sij

    Speed coding is quite heterogeneous across EC + CA1 layers and cell types, with differences in theta phase and direction. I wonder how that affects path integration... Another home run paper from the Mizuseki lab!

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  8. proslijedio/la je Tweet
    31. sij

    Shout-out to anyone that moves to another country to follow their dreams. Adapting to lang/env/cultural differences whilst studying/researching is mind blowing. It can be difficult for those who have never done this to appreciate just how big that is, it's incredibly impressive.

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  9. proslijedio/la je Tweet
    30. sij

    Was analyzing some old images and thought this one deserved a little extra attention.

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  10. 31. sij

    Today I finished this book. I enjoyed it. The last chapters were my favourites and a great conclusion. Definitely recommended!

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  11. proslijedio/la je Tweet
    30. sij

    This is a spectacular finding from Loren Frank's group: Constant Sub-second Cycling between Representations of Possible Futures in the

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  12. proslijedio/la je Tweet
    29. sij
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  13. 28. sij

    my 4y son giving me small socks as present: I bought you these awesome spiderman socks. Put them on. me: thank you but they are too small. 4y son: yes, they are for when you are younger...

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  14. proslijedio/la je Tweet
    28. sij

    1/2 Last year I wrote an article with . Distill represents a promising new paradigm in academic publishing. I wrote a blog post about my Distill experience:

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  15. 27. sij

    Reading Talking Nets: An Oral History of Neural Networks. Edited by Anderson and Rosenfeld. Even tho its obvious, am still surprised by all d human factors (life circumstances) involved in science (which after d fact seems so continuous and fail proof)

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  16. proslijedio/la je Tweet
    27. sij

    *open preprint to read* *figures are separate from main text* *legends are separate from figures* *closes preprint*

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  17. proslijedio/la je Tweet
    24. sij

    A stable home‐base promotes allocentric memory representations of episodic‐like everyday spatial memory

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  18. proslijedio/la je Tweet
    23. sij

    Q-learning is difficult to apply when the number of available actions is large. We show that a simple extension based on amortized stochastic search allows Q-learning to scale to high-dimensional discrete, continuous or hybrid action spaces:

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  19. 23. sij

    Great public talk about Alzheimers disease by at the . Great

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  20. proslijedio/la je Tweet
    22. sij

    Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping

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  21. 22. sij

    Today for our we discussed v interesting paper Long-term stability of cortical population dynamics by and colleagues. presented by

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