Rezultati pretraživanja
  1. My modest contribution to

  2. 1. ožu 2019.

    Different parts of the brain learns in different ways. Model-free, model-based, and memory-based are all just different sides of the same coin, according to Kenji Doya

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  3. 3. ožu 2019.

    Beautiful talk by our former chair at - Biophysical models predict mechanisms underlying learning and memory

  4. 28. velj 2019.

    When the conference organizers seemed pleased that the % accepted abstracts from women is not THAT much lower than the % submitted

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  5. 28. svi 2019.

    To everyone currently writing up the work they presented at , consider submitting to Neurons, Behavior, Data analysis & Theory (), a new free open-access journal that is committed to high-quality quantitative / systems neuroscience.

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  6. 5. ožu 2019.

    Great talk by on world models and replay for reinforcement learning at

  7. 4. ožu 2019.

    Terry Sejnowski, wearing the Terry Vest under a suit jacket, just talked to a whole crowd about oscillations and traveling waves, also said that oscillations are nonsinusoidal and bursting. I feel so validated after a week of single units and latent manifolds.

  8. 3. ožu 2019.

    .: Cosyne has heard concerns about bias in the review process and beyond. Starting now they will - collect and analyze relevant data, appoint diversity and inclusion chairs, and implement a double blind review process.

  9. 2. ožu 2019.
  10. disparities are not unique and won't get fixed organically. There needs to be active and sustained effort to correct it. This is what we did to BEGIN to address the problem in another specialized (and competitive) neuroscience meeting

  11. 2. ožu 2019.

    I presented the math for this at the diversity lunch today. Success rates for first authors with known gender: Female: 83/264 accepted = 31.4% Male: 255/677 accepted = 37.7% 37.7/31.4 = a 20% higher success rate for men

  12. 2. ožu 2019.

    Shocked that the matheletes were unable to crack this one and these data were conveniently displayed during the diversity lunch and not at the opening session where everyone could see it

  13. It’s becoming more and more common to use task based network modeling (e.g. RNNs) to study biological neural networks. We wondered whether RNN representations or dynamics might be universal and thereby begin to justify the comparison. 👇👇👇

  14. Turns out the numbers for acceptance rates we saw the other day correspond to a 20% greater chance of acceptance for abstracts with a male first author

  15. 2. ožu 2019.

    Presenting again on unsupervised time warping methods tonight at . We can extract really striking patterns in high-D data using very simple alignments. Broadly useful in diff animal models and experimental contexts, even in systems close to sensory/motor periphery!

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  16. 2. ožu 2019.

    What are useful metrics for comparing representations in RNNs with the brain? How sensitive are these to architecture choices? Find out at our poster (III-51) tonight at ! Awesome collaboration with

  17. 2. ožu 2019.

    . . . Besides , I hope we can also discuss today the pervasive gender problem in comp neuro as a field. Why are so many (male-led) computational labs male-dominated? Is it explicit PI bias, implicit bias, stereotype threat? 1/2

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  18. 1. ožu 2019.

    I'm so proud of for getting her 1st project in my lab accepted at , but given that she and I are both women, and the topic is computational analysis of *sex differences*, I feel like she pulled off a coup! Come see it Saturday, with co author !

  19. 1. ožu 2019.

    Fascinating talk from Ken Harris. Is the brain holographic?

  20. 28. velj 2019.

    This is a cool project that is heading up so stop by. And by the way, in light of 's analysis of gender at , you'll be pleased to hear that it has not one but two senior authors - both women - me and .

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