Elaine Kearney

@ek_kearney

Speech neuroscience postdoc . Interested in sensorimotor control of speech & expanding speech therapy options in Parkinsons. Alum

Boston, MA
Vrijeme pridruživanja: travanj 2017.

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  1. Prikvačeni tweet
    21. sij

    New paper “A Simple 3-Parameter Model for Examining Adaptation in Speech and Voice Production” out in ! 1/

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  2. proslijedio/la je Tweet
    2. velj

    I thought it could be helpful to have a thread on ANOVA in R. As a statistical consultant, this is the most frequent FAQ I get from clients - how to run a linear model on their data, conduct hypothesis tests, extract predicted means and perform contrasts.

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  3. proslijedio/la je Tweet
    30. sij

    New publication Oral Dynamics Lab by Dr. Namasivayam and colleagues attracts > 5000 views in 24 hours

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  4. 29. sij

    It's 2020, and the best solution to all technical problems in the lab is still... "but did you turn it off and back on again?"

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  5. 23. sij
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  6. 21. sij

    This paper features as part of a research topic on “Models and theories of speech production” – see more about the topic and other excellent submissions here: 9/9

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  7. 21. sij

    This work was a huge collaborative effort between the (A. Nieto-Castañón, R. Falsini, , F. Guenther), (, ), (A. Daliri, S-C. Chao), (K. Ballard), (), and ! 8/

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  8. 21. sij

    The model code is based but we compiled the code in such a way that you can use it without a license! The app comes with sample files and a detailed user manual to get you started – excellent as a teaching resource or for modeling your own data 7/

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  9. 21. sij

    We showed that SimpleDIVA provides excellent fits to both speech (formants) and voice (f0) adaptation datasets, & the model parameters offer mechanistic explanations for the behavioral responses observed – even when using masking noise or perturbing more than one dimension 6/

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  10. 21. sij

    We developed , a 3-parameter model that estimates the relative contribution of feedforward and feedback control mechanisms to speech & voice sensorimotor adaptation. We then tested the model with 6 existing datasets collected in labs across the US and Australia 5/

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  11. 21. sij

    This process relies on an interplay between feedback control (detecting & correcting errors within a trial) & feedforward control (updating the motor command for the following trial). It’s difficult to disentangle the contribution of each system from behavioral data alone 4/

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  12. 21. sij

    In response, speakers change their production in the direction opposite the shift (e.g. increase in pitch) so that their perceived production is closer to what they intended 3/

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  13. 21. sij

    Sensorimotor adaptation experiments are an important experimental paradigm in examining brain processes involved in motor (& speech/voice motor) control. In speech/voice studies aspects of the acoustic signal are altered over time via auditory feedback (e.g. decrease in pitch) 2/

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  14. proslijedio/la je Tweet
    19. sij

    Tip for dealing with new rs-fMRI papers: search for "breath," "respir*," "CO2" and "carbon dioxide." If you draw a blank, close the paper, it's bollox. If you find the term(s), check how they dealt with physio confounds. If the methods seem reasonable, bother to read the paper.

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  15. proslijedio/la je Tweet
    17. sij

    Congrats to whose last dissertation paper just came out on neuropathology of bulbar ALS. A unique study - - congrats Sanjana! Very proud of you!

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  16. 17. sij
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  17. proslijedio/la je Tweet
    14. sij

    Hey speech science and phonetics peeps. How might I detect pauses and label their boundaries in a bunch of wav files? I found Praat's To Intensity > To TextGrid (silences), but curious if there is anything smarter/better

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  18. proslijedio/la je Tweet
    14. sij

    Pls RT! Our beloved lab manager is moving on with her career in medicine. We are sad to lose her, but excited to meet our new team member!

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

    Kearney & Guenther articulate the neural mechanisms of Speech Production that draws on non-invasive structural & functional neuroimaging & a neural network model detailing the neural computations performed by specific neuroanatomical regions during speech

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  20. proslijedio/la je Tweet
    12. sij

    Some work-in-progress illustrations to gently introduce some concepts for 2-sample t-tests & how to think about p-values. Meant as teaching aids, not as a comprehensive standalone lesson. Caveats & assumptions abound. 🧵

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