Sara A Solla

@SaraASolla

Professor, Northwestern University

Chicago, IL, USA
Vrijeme pridruživanja: listopad 2018.

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  1. prije 54 minute

    very much looking forward to this meeting! So many new results, but many more open questions!

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  2. proslijedio/la je Tweet
    31. sij

    Cosyne schedules are up! Be sure to come to our workshop (organized w/ and Matt Whiteway) "Interpretable computational neuroscience: What are we modeling and what does it have to do with the brain?"

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  3. prije 17 sati

    Great to remind us of the excellent 1992 paper by Jordan and Rumelhart on learning forward models with a distal teacher! We have recently adapted and extended their approach; see PLoS 'We' includes Camilla Pierella, Maura Casadio, and Sandro Mussa-Ivaldi.

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  4. proslijedio/la je Tweet
    31. pro 2019.

    The dynamics of motor learning through the formation of internal models Camilla Pierella, Maura Casadio, Ferdinando A. Mussa-Ivaldi, Sara A. Solla

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  5. 29. sij

    great work! Low dimensional dynamics accounted for through a small number of behavioral modes. From neural modes to muscle modes to behavioral modes - manifolds rule!!

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  6. 27. sij

    I had been wondering how to build an architecture like this ... great to see it done! Problem solved!!!

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  7. 27. sij
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    24. sij

    New seminars, workshops, and much more in theoretical and computational neuroscience!

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  9. 21. sij
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  10. 21. sij
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  11. proslijedio/la je Tweet
    19. sij
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  12. 19. sij

    Every talk by is a worthwhile learning experience - no matter how much you think you already know about the topic!

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  13. 19. sij
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  14. proslijedio/la je Tweet
    14. sij

    Applications now open for the courses in : 👉 Quantitative approaches to (19 July - 8 August 2020) 👉 Computational (10 - 28 August 2020) ❗️To apply: - deadline for both courses: 16 March 2020

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  15. 19. sij
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  16. 18. sij
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  17. 18. sij

    So many good conferences! And an increasing acknowledgement of the crucial role of complex neural dynamics in the brain’s ability to process information.

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  18. 18. sij

    That professional societies, not-for-profit organizations supposed to protect the interests of their members, would agree to block free access to scientific output is simply wrong.

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  19. 17. sij

    It goes to my pile of important papers to read - and very close to the top! A systematic effort to translate STDP into a learning rule expressed in terms of firing rates - and the answer is Hebbian!

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  20. proslijedio/la je Tweet
    17. sij

    This looks super cool by will have to dig in! This looks like a great approach to unifying different models of decision making, and thereby embedding them in a unified framework for parameter-inference.

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