Maggie Henderson

@maggiehende

Graduate student in cognitive and computational neuroscience

San Diego, CA
Vrijeme pridruživanja: lipanj 2012.

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  1. Prikvačeni tweet
    19. srp 2019.

    Final version of our paper is now up! Using stereoscopic 3D stimuli, we show that object position-in-depth is represented widely in visual cortex, with particular robustness in dorsal visual area V3A.

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

    Now in press @ JNeurosci: We show that category learning is associated with rapid, task-dependent, and reversible changes in stimulus-specific sensory representations in human occipitoparietal cortex - as early as V1! With and .

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  3. 19. lis 2019.

    SfN off to a great start this morning with an inspiring talk from . How can we leverage neuroscience to build better AI, and how can we use AI in more responsible ways?

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  4. proslijedio/la je Tweet
    24. ruj 2019.

    (neuro)scientists are increasingly waking up to the realities of the climate crisis, and are starting to take action as individuals and scientific communities. feel overwhelmed? not sure where to start? i've started a 'beginners guide' with resources:

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  5. proslijedio/la je Tweet
    23. ruj 2019.

    Excited to finally post this pre-print from a collaboration project with , Elisa Pabon, Ed Vogel and Harriet de Wit — we show that THC impairs visual working memory performance and increases mind wandering.

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  6. 16. ruj 2019.

    Had a great time at Cognitive Computational Neuroscience 2019! Awesome and a perfect excuse to explore Berlin for a few days. @ Palácio de Charlottenburg

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

    Nuttida's new paper is out...preserved expectation and attention effects with hippocampus damage.

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  8. proslijedio/la je Tweet
    30. srp 2019.

    In , , , , & examined the accuracy of depth encoding in retinotopic cortex. Findings may inform future studies of human 3D spatial .

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  9. proslijedio/la je Tweet
    9. srp 2019.

    We started a project to highlight the stories of women neuroscientists from diverse backgrounds and at different career stages. We are launching soon!! Follow us, retweet us, help us spread the word!

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  10. proslijedio/la je Tweet
    15. ožu 2019.

    Our lab and 's lab are looking for new postdocs! Either for work on models of visual working memory or recognition memory, or for work on EEG of attention and visual working memory. See ad for how to apply:

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  11. proslijedio/la je Tweet
    4. ožu 2019.

    New preprint from Sirawaj, Vy and Tommy about value-based capture: Value-driven attentional capture enhances distractor representations in early visual cortex

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  12. proslijedio/la je Tweet
    28. sij 2019.

    A total of 100 people participated in the study. We excluded 47 because their data did not spark joy.

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  13. 28. sij 2019.

    Glowing brains and a tiny fMRI scanner! Thanks for making our research look so cool

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  14. proslijedio/la je Tweet
    11. pro 2018.

    My first preprint of grad school (w/ ) is online! We found that enhancement of irrelevant object features was not confined to those objects, and actually affected behavioral performance on separate objects

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  15. proslijedio/la je Tweet
    28. stu 2018.

    Congrats on this award! So well deserved

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  16. 25. lis 2018.

    Check out this music video from some of our very talented UCSD neuro grad students! And stop by our SfN event, Nov 5 at Parq restaurant and nightclub!

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  17. proslijedio/la je Tweet
    15. lis 2018.

    Excited to announce Piano Genie, an intelligent controller that allows anyone to improvise on the piano! This was my internship project at with and . Blog post with more information:

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  18. proslijedio/la je Tweet
    17. ruj 2018.

    How do we adapt decision processes to current task demands? One way: flexible timing of responses with respect to ongoing evidence accumulation when making decisions under speed pressure ~ let us know what you think!

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  19. 9. kol 2018.

    New preprint out today with ! Object representations in human frontoparietal cortex are associated with behavioral performance on an invariant target recognition task.

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  20. proslijedio/la je Tweet

    New preprint with ! Scene priming relies primarily on low-level features rather than scene layout.

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