Surya Ganguli

@SuryaGanguli

Associate Professor of Applied Physics at Stanford, with courtesy appointments in Computer Science, Electrical Engineering and Neurobiology.

Vrijeme pridruživanja: prosinac 2013.

Medijski sadržaj

  1. 9. pro 2019.

    5/ To explain and unify these diverse numerical results, we also developed a mathematical theory, based on the theory of pattern formation, that explains when and why grid structure emerges, and what lattice (amorphous, square or hexagonal) would dominate under diff. conditions

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  2. 9. pro 2019.

    1/ New paper at : A unified theory for the origin of grid cells through the lens of pattern formation: lead by Ben Sorscher, Gabriel Mel and Sam Ocko. Spotlight: Thu Dec 12th 10:35 -- 10:40 AM @ West Exhibition Hall C + B3

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  3. 5. pro 2019.

    Our paper lead by on "Discovering Precise Temporal Patterns in Large-Scale Neural Recordings" now published : learn how to turn the spike trains on the left into those on the right just by reordering the rows.

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  4. 14. lis 2019.

    Looking forward to visiting the Institute for Advanced Study () this week to speak at a workshop on the Theory of Deep Learning: Already had great scientific discussions while walking through the Institute Woods!

  5. 5. lis 2019.

    Officially got tenure in Applied Physics ! This feat is really due to a brilliant, creative, and fun group of students and postdocs I have had the great fortune of working with over the years. And thanks to amazing colleagues and mentors at Stanford and beyond!

  6. 18. srp 2019.

    4/ a mean field analysis suggests a critically excitable operating regime for V1 in which large assemblies of order N similarly tuned neurons can be recruited by stimulating a tiny subset of only order square root of N neurons, thereby enabling strikingly high sensitivity

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  7. 18. srp 2019.

    3/ theoretical analysis reveals this very low threshold, for the ignition of both large cell assemblies and perception, is almost as low as it can possibly be while still optimally avoiding false positive percepts driven by fluctuations in spontaneous activity

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  8. 18. srp 2019.

    2/ that visual cortex operates in a highly sensitive critically excitable regime in which stimulating a tiny subset of ~20 cells with similar orientation tuning is sufficient to both selectively recruit a large fraction of similarly responding cells and drive a specific percept

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  9. 18. srp 2019.

    1/ New in w/ lab: : new opsin + multi-photon holography to image ~4000 cells in 3D volumes over 5 cortical layers while also stimulating ~50 neurons to directly drive visual percepts; data analysis and theory reveal…

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  10. 14. lip 2019.

    Lenka gives a great view in one slide on what it will take to get to a unified theory of at the Theoretical Physics for Deep Learning workshop at :

  11. 7. lip 2019.

    New from lab! Unsupervised algorithm to reveal spike-time patterns buried in data. i.e. it can take the left rasters and discover a hidden oscillation by just reordering them. code available! paper: thread: Congrats !

  12. 4. lip 2019.

    Congrats on an awesome PhD defense! She's also known as Kiah of house Hard Castle, first of her name, Queen of the pyramidals, stellates and the First Brains, breaker of PhD chains, mother of spike trains, the rightful ruler of 52 Brodmann regions...

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  13. 3. lip 2019.

    3/ Our theoretically derived scaling laws, which assume electrode activity is a noisy random projection of single units, are verified in neural data, and reveal that in many experiments, we can skip spike-sorting and still obtain relatively accurate neural pop dynamics

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  14. 3. lip 2019.

    2/ We connect theory to experiment by deriving scaling laws relating the complexity of neural dynamics, # of neurons, # of electrodes, and the geometric distortion of neural pop dynamics incurred, by simply skipping spike-sorting, and working directly with electrode activity

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  15. 3. lip 2019.

    1/ New paper : Accurately estimating neural population dynamics without spike sorting Congrats , and and many members of lab! Also first data in primates!

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  16. 17. tra 2019.

    speaking on black holes! Amazing: in 100 years humanity derived black holes from pure mathematics, then turned the whole earth into a telescope to see one 53 million light years away, and figured out it weighs 6.5 billion suns! brings a tear to my eye...

  17. 18. ožu 2019.

    An exciting day of talks today spanning , , , and more as part of the opening symposium of the Human Centered AI Institute. You can see the talks live streamed at:

  18. 3. ožu 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    I took the red pill. Lets see how deep the rabbit hole of 's twitter feed goes!

  19. 2. ožu 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    Oh interesting - I did not realize there was a @davidsussillo who would grow up to be . In this case I have to agree with here - in the end...

  20. 8. pro 2018.

    My new post for the Human Centered AI Initiative: a personal vision of how and other fields can work together to both understand biological intelligence and create artificial intelligence!

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