Kohitij Kar

@KohitijKar

postdoc in Jim DiCarlo's lab .. excited by the conjunction of experimental & computational approaches to systems neuro

Massachusetts, USA
Vrijeme pridruživanja: rujan 2012.

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  1. 16. sij

    Brains, Minds and Machines Summer School 2020 [Application Deadline April 6, 2020]... please spread the word. You are guaranteed the best 3 weeks of 2020! ⁦

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  2. 9. sij

    2020 resolution: I won't try and solve all the problems of the world in one paper

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  3. 2. sij

    Heard about this on NPR — might be a cool thing to try out this year! Not all of the sites are “obscure” but already I found quite a few new places that I haven’t been to in Cambridge. MA Atlas Obscura - Curious and Wondrous Travel Destinations

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  4. 20. pro 2019.

    Surprisingly—the induced electric field estimated from each subject’s MRI and subsequent head model predicted the tACS-induced BOLD and functional connectivity changes. Final publication from my past life. Really happy with the results! Thanks

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  5. 7. stu 2019.

    Had a great time in Paris at the “Roles and Mechanisms of cortico-cortical feedback” workshop with and others. Special Thanks to

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  6. 17. lis 2019.

    What happens in the IT cortex and to the subsequent behavior of non-human primates when you silence visually driven vlPFC neurons? Can deep-nets predict this? Come check out my poster [Tuesday Oct 22ⁿᵈ from 8 am; or Saturday Oct 19ᵗʰ at 6:30 pm @ poster session]

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    26. kol 2019.

    Jonas Kubilius presenting their work on why recurrence may be important in core object recognition for more challenging images, work with and

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  8. 20. kol 2019.

    our new paper—“the acquisition of reading in humans did not require a full rebuild of visual processing, but rather the recycling of a brain network evolved for other visual functions.”⁦congrats ⁩ for getting us to this interesting space!

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    20. kol 2019.

    A year ago at the , , and I got to talking about if/how the primate visual system could be adapted to support reading abilities. Together with and , we made a first attempt to answer this. Check out the preprint here!

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  10. 12. srp 2019.
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  11. 24. svi 2019.

    The predatory publishing houses know exactly whats missing in my life! And that too — just when I woke up at 5:40 am 😀

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    19. svi 2019.

    Monday 11:15am ⁩: I'll be presenting our work on the representation of letters and words in the macaque ventral stream -- a fun collaboration with and , with and Sachi Sanghavi. We'd love to get feedback from the community!

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    18. svi 2019.

    Congenitally-blind subjects show face-selective responses in the fusiform gyrus to haptic exploration and auditory stimuli of faces, which is not explained by a curvature bias. Work by

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  14. 13. svi 2019.
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  15. 2. svi 2019.

    “Essentially all models are wrong, but some are useful” — here we demonstrate this pretty well.. I am excited about the future!

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    2. svi 2019.

    Adding feedback loops helps refine artificial object recognition systems: implications for deep learning discussed here: by and Diane Beck of Video by Kris Brewer

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  17. 1. svi 2019.
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    30. tra 2019.

    and collaborators show () that even rapid visual object recognition relies on recurrent computations that are missing in today's deep neural network vision systems. And adding recurrence leads to higher performing, more brain-like models!

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  19. proslijedio/la je Tweet
    29. tra 2019.

    For more effective visual recognition, just add recurrent circuits, study in by and colleagues . Image: Christine Daniloff

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  20. 29. tra 2019.

    Out now! The primate ventral stream utilizes recurrent computations to identify objects in visual images. (SharedIt link: )

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