Xiaofang Yang

@_XiaofangYang

Psychology & Neuroscience PhD @ Princeton University

Princeton, NJ
Vrijeme pridruživanja: ožujak 2019.

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  1. proslijedio/la je Tweet

    Kicking off this year's series is and professor Sabine Kastner with a talk entitled “Visual Perception and the Art of the Brain." 🧠 This event is free and open to the public:

    Sabine Kastner speaking among a group of children
    Science on Saturday's Schedule
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  2. 3. sij
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  3. 21. lis 2019.

    So proud of my advisor Sabine Kastner and our amazing collaborator Bob Knight on winning the Award for Education in Neuroscience at ! Really look forward to more scientists joining us in neuroscience outreach activities!

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  4. 18. lis 2019.

    Coming to and interested in attention & vision? Check out the Kastner lab presentations from monkey electrophysiology to human electrocorticography!

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  5. proslijedio/la je Tweet
    13. lis 2019.

    Applying to psych/neuro PhD programs (or postdoc positions) this fall? Excited about studying naturalistic auditory/music perception and communication across the lifespan using behavioral and neuroimaging techniques? Get in touch about joining my new lab! [RTs appreciated!] 😀

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

    Widespread temporal coding of cognitive control in the human prefrontal cortex

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    3. lis 2019.

    Our new J Neuroscience paper by Cecilia Mazzetti linking basal ganglia (globus pallidus) to top-down control of alpha oscillations in a spatial attention/reward task.

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  8. proslijedio/la je Tweet
    19. ruj 2019.

    My lab, together with others at Princeton ( and Jon Cohen) is looking for a research specialist with biostats/stats training for a large project on electronic health records and computational psychiatry projects. Post-bac or MA. Apply here:

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    14. ruj 2019.

    If you are at and interested in a postdoc or RA position on decision making/learning or fMRI algorithms at University of Tokyo, we can chat!

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    15. ruj 2019.

    New paper in Annual Review of Psychology, prior to publication. We examine functional specialization in the attention network, linking results from multiple methodologies. Functional contributions from each node change on a moment-to-moment timescale.

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    13. ruj 2019.

    Hasson Lab is seeking a skilled research programmer to join a project aiming to develop machine learning methods for understanding how language is encoded in "big data" neural activity patterns (i.e., large volumes of ECoG data):

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    11. ruj 2019.

    Excited to release a preprint of our perspective piece on the parallels between evolution, artificial neural networks, and biological neural networks—and the ramifications for experimental neuroscience:

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  13. 6. ruj 2019.
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    4. ruj 2019.

    The website for my upcoming lab is now running! If you're applying to grad school this year, and interested in brain mapping and development, Princeton is a pretty great place! You can find me in New Jersey starting Feb 2020.

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    Simultaneous recordings in the middle temporal area (MT) and superior colliculus (SC) during a visual task suggest that reshapes sensory representations so the relevant information guides behavior, counter to prominent hypotheses

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    A neural decoder that can translate brain activity associated with hearing and responding to questions and produce a text transcript in real time, is presented in . Read the paper here:

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  17. proslijedio/la je Tweet
    29. srp 2019.

    New paper with Matt Panichello, , and on how items in working memory change over time. Memories are pulled towards contextually-predicted values, reducing the impact of diffusive noise and improving working memory accuracy.

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    21. svi 2019.

    Profiles of women in science from The one and only, Professor Kia Nobre of the University of Oxford - some unvarnished views and terrific advice from one of the absolute greats in our field

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  19. proslijedio/la je Tweet
    3. svi 2019.

    Do artificial deep network models constitute an "understanding" of visual processing? As a practical test of understanding, Bashivan and Kar show that the knowledge already embedding in these networks gives a new power of non-invasive neural control:

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  20. proslijedio/la je Tweet
    24. tra 2019.

    Read ⬇️ thread on new work on the oscillation debates. (Also read the paper?) Arguments in support of oscillation based models in audition.

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