Shanaa Modchalingam

@modchalingam

Sensorimotor learning. Neuroscience. PhD student at York University. 🇨🇦

Toronto, Ontario
Vrijeme pridruživanja: lipanj 2018.
5 fotografija ili videozapisa Fotografije i videozapisi

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  1. Prikvačeni tweet
    10. kol 2019.

    Hooray! New paper out on implicit and explicit motor learning and how they effect changes in hand-position estimates. Found here: -- with 1/10

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  3. proslijedio/la je Tweet
    26. sij

    Imagine being accepted in a good US university, going through months long vetting process to get a visa, hoping to join your wife in America, then humiliated upon arrival in LA airport, dreams crushed, sent back. Your crime? Born Iranian.

    1 reply 9 proslijeđenih tweetova 50 korisnika označava da im se sviđa
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  4. proslijedio/la je Tweet
    16. stu 2019.

    Recruiting for new undergraduate neuroscience program. With

    4 proslijeđena tweeta 21 korisnik označava da mu se sviđa
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  5. proslijedio/la je Tweet
    7. stu 2019.

    Great article about noise in the brain!

    1 reply 8 proslijeđenih tweetova 32 korisnika označavaju da im se sviđa
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  6. proslijedio/la je Tweet
    30. lis 2019.

    Interesting commentary on adaptation tasks that have contact (visuomotor rot./force-field) vs contactless (prisms/coriolis force) perturbations: Contactless involves more context-independent processes(/after-effects) and vice-verse for contact

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  7. proslijedio/la je Tweet
    22. lis 2019.

    Thanks for stopping by our posters - appreciate the feedback

    1 reply 3 proslijeđena tweeta 27 korisnika označava da im se sviđa
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  8. 18. lis 2019.

    Drop by our posters!

    lab has 6 posters : five on Tue on implicit learning, proprioception, and some credit assignment, one poster on Wed on dual adaptation. With and Maria Ayala.
    1 proslijeđeni tweet 9 korisnika označava da im se sviđa
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  9. proslijedio/la je Tweet
    9. lis 2019.

    Behavior Matters! Our latest special issue is all about behavior: from rodents to humans, circuits to psychophysics, exploring learning, attention, decision-making & more through Q&As, reviews, perspectives & primers. Happy reading!

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  10. proslijedio/la je Tweet
    11. ruj 2019.

    Our preprint! Check it out!

    Parietal Cortex Integrates Visual and Oculomotor Signals to Update Grasp Plans
    6 proslijeđenih tweetova 18 korisnika označava da im se sviđa
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  11. proslijedio/la je Tweet
    24. kol 2019.

    time! How do we generate the right muscle commands to grasp objects? We present a neural network model that replicates the vision to action pipeline for grasping objects and shows internal activity very similar to the monkey brain.

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  12. proslijedio/la je Tweet
    15. kol 2019.

    Preprint with has been updated after helpful feedback about our title from and (along with a few, more substantive, changes)! "Implicit visuomotor adaptation remains limited after several days of training"

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  13. 13. kol 2019.

    Here's the plot. Unique part on the right: mean difference between groups (black dot), the distribution of mean differences after bootstrapping (grey area), and a 95% conf. interval based on that distribution (black bar). Scale is same as on left so it's readable. I'm a fan!

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  14. 13. kol 2019.

    Nice new initiative from . A good explanation of estimation stats found here:

    Changing the Way We Report, Interpret, and Discuss Our Results to Rebuild Trust in Our Research
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  15. 10. kol 2019.

    Thanks for reading! This is my first paper, so any constructive advice is appreciated! There are few things I’ve noted already (e.g. showing individual datapoints on all plots) for future publications. 10/10

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  16. 10. kol 2019.

    On an individual level, afferent (i.e., proprioception) -based changes in hand-localization (from the second figure) were positively correlated with implicit changes (left side of the first figure). This correlation is still there if you remove that one high outlier. 9/10

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  17. 10. kol 2019.

    Prediction-based changes in hand localization, i.e. differences between when the hand was moved actively (with a prediction component based on the motor command) and passively (no prediction), were small and not different between groups. 8/10

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  18. 10. kol 2019.

    Adaptation-dependent changes in the hand-position estimates were also irrepressible – i.e. they appear following active or passive movements, at similar magnitudes, regardless of whether people used strategies during adaptation. 7/10

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  19. 10. kol 2019.

    However, no groups showed differences in implicit learning when compared to the control group. The amount of learning that could not be suppressed was ~15° for all groups, regardless of whether they were employing cognitive strategies (left side of the above figure). 6/10

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  20. 10. kol 2019.

    Likewise, people who weren’t instructed but who experienced a large, conspicuous perturbation also used a cognitive strategy. Both instruction and large rotations were sufficient to evoke strategy use. 5/10

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  21. 10. kol 2019.

    First, we tested if people instructed about a small, 30° rotation prior to training used a cognitive strategy to counter the perturbation even in late adaptation. They did, and unlike those who were uninstructed, could evoke this strategy when cued (right side of figure). 4/10

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