Daniel Lindh

@lajnd

I like dogs but study human behavior and brainz! @ University of Amsterdam/Birmingham

Vrijeme pridruživanja: listopad 2012.

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  1. Prikvačeni tweet
    11. ruj 2019.

    1/5 (thread) The first paper of my PhD is finally out in and I couldn’t be prouder. For full and nuanced discussion on implications please read the paper, but here is a short TL/DR thread. W/ , I Sligte, S Assecondi, K Shapiro:

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  2. proslijedio/la je Tweet

    By far the best introduction to probabilistic computation i have seen so far: I also love the juxtaposition of code and graphs. By /ht

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  3. proslijedio/la je Tweet
    29. sij

    Predictive Routing: "There are no special error-detection circuits or mechanisms." There are instead pathways that are gated by predictions and thus can be activated by unexpected inputs. Amazing monkey electrophysiology work by Andre Bastos

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  4. proslijedio/la je Tweet
    27. sij

    Stuck using a two-stage summary statistics approach instead of a mixed model? (non fMRI example in video) When will these approaches differ? Learning the link between conditional modes (BLUP) and OLS estimates is key and the exploration starts here!

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  5. proslijedio/la je Tweet
    21. sij

    Tom Nichols () at / today: We reanalysed the same data with several different software packages using parametric and nonparametric analysis, there can be dramatically different outcomes

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  6. proslijedio/la je Tweet
    21. sij

    Ethicists, Moralists, Psychologists, and Trolleyologists! I am pleased to announce our latest paper: "Universals and variations in moral decisions made in 42 countries by 70,000 participants" just out in (thread)

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  7. proslijedio/la je Tweet
    21. sij

    This brilliant blog post by demonstrates the huge benefits of estimating test-retest reliability using hierarchical models instead of standard ICC on averaged data:

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  8. proslijedio/la je Tweet
    20. sij

    Our paper "Inverse Transformed Encoding Models - a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding" is online (with ). Open access:

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  9. proslijedio/la je Tweet
    17. sij

    New paper alert!: Is the P300/P3b a neural signature of perceptual awareness? We combined a visual masking paradigm with a no-report paradigm and found that it is not.

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  10. proslijedio/la je Tweet
    15. sij

    1) Our paper on the neural correlates of graded visual perception is out in Consciousness & Cognition! We show, using source-reconstructed MEG, that full compared to partial perception differed in the strength of evoked activity and beta-band oscillations.

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  11. proslijedio/la je Tweet
    14. sij

    By restructuring math expressions as a language, Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems.

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  12. proslijedio/la je Tweet
    14. sij

    New blog post alert: I used Wasserstein distances to analyze some fMRI data, and found it to be a really useful and intriguing tool: 1/7

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  13. proslijedio/la je Tweet
    15. sij

    The brain represents multiple future outcomes simultaneously and in parallel. Cool new work by , with single-unit recordings from mice confirming the predictions coming from AI side.

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  14. proslijedio/la je Tweet
    13. sij

    Are deep neural networks trained on object recognition tasks a good model of visual processing in the brain? In rodents the answer is no, and in primates previous results suggesting yes "should be taken with a grain of salt":

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  15. proslijedio/la je Tweet
    8. sij

    Curious about ? Check out our newest paper in which we try to provide a generally accessible explanation of the techniques behind them, discuss societal implications and sketch potential remedies.

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  16. proslijedio/la je Tweet
    10. sij

    New preprint from the lab: "Individual differences among deep neural network models." Work with , , and Courtney Spoerer. below. 1/7

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  17. proslijedio/la je Tweet
    8. sij

    Interactive visualization of brain activity with is getting an update thanks to and (to appear soon in the next MNE release and still WIP)

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  18. proslijedio/la je Tweet
    7. sij

    New paper out! We provide evidence that feedforward convnets (ffCNNs) cannot implement human-like global computations because of their *architecture*, and not merely because of the way they are *trained*.

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  19. proslijedio/la je Tweet
    2. sij

    Brains are amazing. Our lab demonstrates that single human layer 2/3 neurons can compute the XOR operation. Never seen before in any neuron in any other species. Out now in . Congrats Albert, Tim  & CO

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