Andrew Watrous

@AndrewJWatrous

Asst. Professor of Neurology | Neuronal & oscillatory coding of human memory

@
Vrijeme pridruživanja: siječanj 2014.

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  1. Prikvačeni tweet
    25. stu 2019.

    First ELM Lab preprint is out! Its a methods paper on adaptive spectral decomposition for ephys data. So if you've ever thought, "is my theta 4-7 or 4-8 or 4-12 Hz?", this paper is for you. We show a way to quantitatively evaluate this question and we look forward to feedback.

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  2. 21. sij

    Tonight one of my all time favorite artists is playing across the street from my office. Would not have guessed this could happen when I started listening to them 20 years ago.

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  3. proslijedio/la je Tweet
    17. sij

    New showing the effects of epileptic seizures on individual human neurons, and what this means for our understanding of where seizures are actually happening:

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  4. 7. sij
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  5. proslijedio/la je Tweet
    13. pro 2019.

    Phase of Firing Coding of Learning Variables across Prefrontal Cortex, Anterior Cingulate Cortex and Striatum during Feature Learning

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  6. proslijedio/la je Tweet
    5. pro 2019.

    Finally out!: Space-time binding both developmentally preceded and was critical to full EM (what + where + when). And the successful association of objects to spatial locations seemed to mediate this developmental process.

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  7. 3. pro 2019.

    This paper looks amazing, excited to read in detail.

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

    Fantastic EEG-fMRI work by supporting our Information via Desynchronization hypothesis. Check it out!

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  9. proslijedio/la je Tweet
    27. stu 2019.

    We need a new labmate who can help us save the world...or at least can help us do science. Cog neuro background with TMS and/or EEG experience preferred. Fred’s the best mentor. Message me if you have any questions. Please retweet!

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  10. 25. stu 2019.

    The ORCA algorithm is novel but the data isn't. We used open access data in this entire project. Thanks to the original authors whose scalp EEG and rat CA1 datasets are here:

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  11. 25. stu 2019.

    Here is an example of resting state "alpha" oscillations detected by ORCA in electrode-specific bands. Each subject (row) shows a unique pattern of activity associated with eye-closure. Subjects are ordered by the average similarity to others.

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  12. 25. stu 2019.

    ORCA can identify subject- and electrode-specific frequency band modulations in resting scalp EEG. These bands are best defined based on different statistical properties of the signal as compared to classical bands.

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  13. 25. stu 2019.

    Here is another schematic of ORCA decomposition of a rat CA1 channel. Adaptive frequency bands based on an explained-variance model of the neural signal (green) were best able to reconstruct the raw signal compared to canonical frequency bands (purple).

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  14. 25. stu 2019.

    Here is an ORCA decomposition of a rodent hippocampal CA1 recording.

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  15. 25. stu 2019.

    Here is an ORCA decomposition of human scalp EEG channel O1.

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  16. 25. stu 2019.

    Matlab code for ORCA is here:

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  17. 11. stu 2019.

    Really exciting work on memory trace cells in the human EC! A very impressive and careful paper from , , and co.

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  18. 1. stu 2019.

    Signed. Some nice ideas in this proposal. Thanks to those who organized this in Chicago!

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  19. 21. lis 2019.
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  20. proslijedio/la je Tweet

    Spontaneous Traveling Cortical Waves Gate Perception in Awake Behaving Primates

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