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Prikvačeni tweet
1/5 (thread) The first paper of my PhD is finally out in
@NatureComms 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/@IanCharest, I Sligte, S Assecondi, K Shapiro: https://rdcu.be/bQRd2Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Lindh proslijedio/la je Tweet
By far the best introduction to probabilistic computation i have seen so far: https://buff.ly/2EZB2vv I also love the juxtaposition of code and graphs. By
@betanalpha /ht@stochasticianHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Lindh proslijedio/la je Tweet
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
@MillerLabMIThttps://www.biorxiv.org/content/10.1101/2020.01.27.921783v1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Lindh proslijedio/la je Tweet
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!https://youtu.be/QqEUKlKPos4
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Daniel Lindh proslijedio/la je Tweet
Tom Nichols (
@ten_photos) at@LudmerCentre /@TheNeuro_MNI today: We reanalysed the same data with several different software packages using parametric and nonparametric analysis, there can be dramatically different outcomes#reproducibility@jbpoline@chrisgorgo@introspectionpic.twitter.com/IkE9i1mHxa
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Daniel Lindh proslijedio/la je Tweet
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
@PNASNews https://www.pnas.org/content/early/2020/01/14/1911517117 … (thread)pic.twitter.com/eqHbNAWd9R
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Daniel Lindh proslijedio/la je Tweet
This brilliant blog post by
@Nate__Haines demonstrates the huge benefits of estimating test-retest reliability using hierarchical models instead of standard ICC on averaged data: http://haines-lab.com/post/thinking-generatively-why-do-we-use-atheoretical-statistical-models-to-test-substantive-psychological-theories/ …pic.twitter.com/aAxnZOwUa9
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Daniel Lindh proslijedio/la je Tweet
Our paper "Inverse Transformed Encoding Models - a solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding" is online (with
@JoramSoch@C_Allefeld). Open access:https://www.sciencedirect.com/science/article/pii/S1053811919310407 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Lindh proslijedio/la je Tweet
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.https://www.biorxiv.org/content/10.1101/2020.01.15.908400v1 …
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Daniel Lindh proslijedio/la je Tweet
1) Our paper on the neural correlates of graded visual perception is out in Consciousness & Cognition! https://www.sciencedirect.com/science/article/pii/S1053810019302752?via%3Dihub … We show, using source-reconstructed MEG, that full compared to partial perception differed in the strength of evoked activity and beta-band oscillations.pic.twitter.com/3krKpTMBTd
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Daniel Lindh proslijedio/la je Tweet
By restructuring math expressions as a language, Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems. https://ai.facebook.com/blog/using-neural-networks-to-solve-advanced-mathematics-equations/ …pic.twitter.com/IL2H8ygDYC
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Daniel Lindh proslijedio/la je Tweet
New blog post alert: I used Wasserstein distances to analyze some fMRI data, and found it to be a really useful and intriguing tool: http://lytarhan.rbind.io/post/content/post/brain-mover-s-distance/ … 1/7
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Daniel Lindh proslijedio/la je Tweet
The brain represents multiple future outcomes simultaneously and in parallel. Cool new work by
@DeepMindAI, with single-unit recordings from mice confirming the predictions coming from AI side.https://www.nature.com/articles/s41586-019-1924-6 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Lindh proslijedio/la je Tweet
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": https://openreview.net/pdf?id=rkxcXmtUUS …
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Daniel Lindh proslijedio/la je Tweet
Curious about
#deepfakes? 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. https://www.sciencedirect.com/science/article/pii/S0007681319301600?via%3Dihub …pic.twitter.com/0ccKzH9xQ1Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Lindh proslijedio/la je Tweet
New preprint from the lab: "Individual differences among deep neural network models." https://www.biorxiv.org/content/10.1101/2020.01.08.898288v1 … Work with
@KriegeskorteLab,@HannesMehrer, and Courtney Spoerer.#tweeprint below. 1/7Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Lindh proslijedio/la je Tweet
Interactive visualization of brain activity with
@mne_python is getting an update thanks to https://github.com/GuillaumeFavelier … and https://docs.pyvista.org/#EEG#MEG#neuroscience#visualization@mne_news (to appear soon in the next MNE release and still WIP)pic.twitter.com/H4Wd0SuokLHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Lindh proslijedio/la je Tweet
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*.https://www.sciencedirect.com/science/article/pii/S0042698919302299 …
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Daniel Lindh proslijedio/la je Tweet
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
@sciencemagazine. Congrats Albert, Tim@mattlark@YiotaPoirazi & COhttps://science.sciencemag.org/content/367/6473/83 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Daniel Lindh proslijedio/la je Tweet
Is N-hacking actually a good thing?https://www.biorxiv.org/content/10.1101/2019.12.12.868489v2 …
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Daniel Lindh proslijedio/la je Tweet
Visualizing MNIST classification. Neat. https://github.com/okdalto/VisualizeMNIST …pic.twitter.com/gUArKRi2J2
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