Adaptive Motor Control Laboratory @Harvard

@mwmathislab

PI: | how do animals dynamically adapt their behavior? using artificial and natural intelligence to find out

@Harvard and @EPFL
Vrijeme pridruživanja: lipanj 2017.

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  1. Prikvačeni tweet

    Exciting issue!! Here is the free-sharing link to our labs contribution on deep learning tools for animal pose estimation:

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  2. prije 21 sat

    Great opportunity for a Professorship in neuroscience and motor control here in Germany in one of the most beautiful cities:

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  3. 3. velj

    Deadline today! Registration for the 2020 closes today! A great opportunity to learn how to practically implement tools from recent . are available. Register now:

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  4. 1. velj

    Very happy to share our new preprint! Animals have a remarkable capacity to learn new motor skills, but how does learning change neural population dynamics underlying movement?

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  5. 31. sij

    Take advantage of the weekend to finish your application for the 2020. On the programme: high-level speakers & training under the Italian sun🌞! Deadline: 3 Feb 2020. List of speakers, programme and application form:

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  7. 13. sij

    Working in experimental or theoretical research? Apply to the - Summer School 2020 & learn how to practically implement tools. Application deadline: 3 Feb. 2020 Pg & application:

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  8. 6. sij

    Check out the speakers for the Summer School 2020! The School will focus on artificial and natural for sensory perception Early application open until 3 Feb. 2020. More info & pg:

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  9. A warm welcome to Jessy, our newest lab member, and to our continued collaboration with !

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  10. 29. stu 2019.

    🥳 Now published in ! A review on how deep-learning powered animal pose estimation is posed to influence the landscape of realizable real-world, ethological neuroscience - by myself & | Free share link:

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  11. 22. stu 2019.

    🎉The 2nd annual DeepLabCut Workshop: Jan 16-17, 2020 👀 1st Hackathon: March 5-6th, 2020 - where we have some exciting developers joining us... Bonsai, AutoPilot, DL tool developers, it's going to be amazing! 😍 Application forms + more info:

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  14. Thanks to for including me in an article in this weeks magazine on using technology for gait analysis. The package is sure to change industries like the thoroughbred. Read here -

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  15. 1. stu 2019.

    🎉DeepLabCut Hackathon! Are you an advanced user who wants to collectively build new features/interface with other open-source tools?! -> March 2020:

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  16. 5. stu 2019.

    Paper summary: pretrained networks are highly important for creating robust neural networks, especially on lab-sized datasets. These networks (including fast mobilenets, and new training regimes, are all available in ) thanks for reading! 👇

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  17. 1. stu 2019.

    Our Bayesian inference of neural assemblies paper is published! Original twitter abstract of the paper: in addition we have added an application to mouse 2-p and neuropixel data thanks to and !

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  18. 31. lis 2019.

    🎉The 2nd annual DeepLabCut Workshop date is officially set! 🎉 Jan 15-16, 2020 at Harvard! Application form: (application closes Dec 1st!) More details:

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  19. 15. lis 2019.

    For my sampling friends: Neural basis of optimal multisensory decision making with probabilistic population codes. Thanks to Yong Gu for giving me a chance to work with him and his fabulous grad student, Han Hou.

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  20. 15. lis 2019.

    Amazing new update for the DeepLabCut project. DeepLabCut v1.0 was already a great resource for anyone doing behaviour. Since then the DLC team turned into a great piece of software, now they made even more accessible to people with less coding experience! !

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