Daniel Borek

@danieltomasz

oscillations, EEG and neuro sfuff, R and statistical analysis, philosophy, movies, and sometimes dry jokes.

Vrijeme pridruživanja: srpanj 2012.

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  1. proslijedio/la je Tweet
    22. sij

    My blogpost on how & why we use convolutional neural networks as a model of the visual system is probably the most read thing I've ever written and it's now been expanded & updated into a proper review article, complete with 136 references & 5 new figures!

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  2. proslijedio/la je Tweet
    23. sij

    important study on comparing some of the many automatic preprocessing pipelines for EEG data.

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  3. proslijedio/la je Tweet
    23. sij

    New year, new preprint! We disentangle neocortical alpha/beta and hippocampal theta/gamma in episodic memory. NC desync. peaks during info. representation while hipp. sync. peaks during mnemonic binding . Thanks to !

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  4. proslijedio/la je Tweet
    23. sij

    I'm proud in to introduce evidently, a python package for simulating from evidence accumulation models. Unlike other packages, it focuses on the time course of these models, and should be particularly useful for looking at their EEG correlates!

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  5. proslijedio/la je Tweet
    23. sij

    Across participants, there is a large range of measurable EEG oscillation strength. For some participants, oscillations are very pronounced, for others miniscule. One can exclude participants for the sake of good measurement, but then the generalizability suffers. Tough choice!

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

    1/ Hippocampal-prefrontal awake replay paper in the new issue. CA1 reverse replay for retrospection, forward replay for prospection, with opposing learning gradients. CA1-PFC replay supports past recall and future planning for spatial working memory.

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  7. proslijedio/la je Tweet
    24. sij

    Exciting stuff! Multimodal TMS-EEG-fMRI to explore interactions between brain oscillations and cortico-subcortical network connectivity (by Peters et al.; Sack's lab) 👉🏼

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  8. proslijedio/la je Tweet
    24. sij

    I have just released versions 0.9.1 and 0.10.0 of seaborn, a Python library for data visualization. The new versions contain a number of improvements, and version 0.10.0 drops support for Python 2. Check out the release notes for more information:

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  9. proslijedio/la je Tweet
    7. sij

    Very excited about our new paper: "Ventromedial prefrontal cortex compression during learning". vmPFC coding akin to goal-directed dimensionality reduction and tracks attention weights from learning models.

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  10. proslijedio/la je Tweet
    27. sij

    Comparing MEG and high-density EEG for intrinsic functional connectivity mapping |

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  11. proslijedio/la je Tweet
    27. sij

    Double-dissociation of frequency-specific contributions of dorso-lateral and dorso-medial prefrontal cortex to familiarity and recollective processes in the primate

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  12. proslijedio/la je Tweet
    28. sij

    Logothetis et al. are moving to . The new International Center for Primate Brain Research (sic) in Shanghai will host up to 6,000 non human primates. Most of his collaborators will leave Tubingen and move there, with family.

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  13. proslijedio/la je Tweet

    highlighting an important and under-discussed issue: The additional burden of navigating academia if you didn't grow up speaking English. [1/6]

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  14. proslijedio/la je Tweet
    27. sij

    This neuroimage alert is crazy: a cool new tool "zapline" to effectively remove line-noise. Looks super promising - I had no luck in the past with tools like cleanline etc.

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  15. proslijedio/la je Tweet
    27. sij

    fantastic new EEG/ET paper by tldr: Run your ICA at 2Hz (passband) to remove eyemovement artefacts. Boost correction by concatenating spike potentials! The definitive guide to ET/EEG ICA eye-artefact correction.

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  16. proslijedio/la je Tweet
    27. sij

    Excited to share w/ , our latest preprint where we use the Hurst exponent (H) to better understand how excitation-inhibition (E:I) imbalance differentially affects the brain in autistic men versus women.

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  17. proslijedio/la je Tweet
    28. sij

    Our preprint "EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum" is now online: Comments are very welcome, this is a work in progress.

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  18. proslijedio/la je Tweet
    21. sij

    Current source density analysis revealed that high-alpha-band power in anterior cingulate cortex was the most prominent predictive feature shared by all the feature sources...

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  19. proslijedio/la je Tweet
    21. sij

    How Sensitive are EEG Results to Preprocessing Methods: A Benchmarking Study

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  20. proslijedio/la je Tweet
    22. sij

    The Strength of Alpha and Gamma Oscillations Predicts Behavioral Switch Costs

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