Martina G. Vilas

@martinagvilas

PhD student at Max Planck Institute , Neuroscience Department. Trying to understand how the brain represents high-level abstract knowledge.

Frankfurt on the Main, Germany
Vrijeme pridruživanja: travanj 2017.

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  1. 30. sij

    This sprint has been such a great and welcoming experience! Happy birthday 🥳

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  2. 22. sij

    And excited to see and again!

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  3. 22. sij

    Happy to hear that I will be joining the to work on it's amazing how-to guide for reproducible research. Check it out:

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    16. sij

    In just over 24 hours it will not be 16 January anywhere on earth! There's still lots of time to send us your 📚💨 application! We have funds for childcare, travel and accommodation, for a day of improving practices!

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    11. sij

    Along with today's 0.12.0 release (), we are proud to release the DataLad Handbook 📙 - a user-focused, code-along crash course on (research) data management with DataLad: A thread on what it is all about:

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    3. pro 2019.
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    20. stu 2019.

    You live open culture and find things like intriguing? Consider joining us () We are hiring up to three people, starting early next year. Send your CV, highlighting your contributions. Pls RT

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    19. stu 2019.

    "The Human Brain encodes a Chronicle of Visual Events at each Instant of Time", by and I: the tl;dr thread:

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    12. stu 2019.

    Hey! Do you use and/or write scientific software? Do you want to help scientific software get academic credit? If so, please volunteer to review for : We're getting a lot of (esp. astro) submissions and the reviewers are working overtime!

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    25. lis 2019.

    In case you missed my talk at : We're rolling out the "Narratives" collection with fMRI data for 300+ subjects listening to 20+ naturalistic spoken stories (750+ functional scans from ). Data now available on :

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    15. lis 2019.

    We all go through our days constantly thinking. How does spontaneous thought arise? How is it supported by interactions between episodic memory, semantic memory, and contextual associations? Looks like a great paper by Judith Mildner & !

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    Neural dynamics of perceptual inference and its reversal during imagery

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    . is a great project by to host and aggregate virtual talks in neuroscience

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    18. ruj 2019.

    We just released Jupyter Book v0.6 - Create online books from your collection of Jupyter Notebooks. Lots of new features (and a few API/build changes)! See below for some major features.

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    15. ruj 2019.

    Presenting a poster at today on learning to use episodic memory for a contextual-sequential prediction task! Poster: ; Paper: ;

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    11. ruj 2019.

    Excited to release a preprint of our perspective piece on the parallels between evolution, artificial neural networks, and biological neural networks—and the ramifications for experimental neuroscience:

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    Constructing and Forgetting Temporal Context in the Human Cerebral Cortex

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    8. ruj 2019.

    On the last day, walked us through initiating an open research project from A to Z, with Z being publishing your storyline and code in a Book. Workshop content available here: (it's in a Jupyter Book...)

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    6. ruj 2019.

    Tim Head lead a great hands-on workshop on using to easily create a full, reproducible, shareable environment in the cloud for your python code, environment and dependencies. All content available:

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