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Prikvačeni tweet
New paper: Deep net models have many parameters, which enable them to flexibly fit data. As a result, qualitatively different models can make similar predictions. How then can we adjudicate among deep nets as models of human perception? 1/10
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Tal Golan proslijedio/la je Tweet


Consciousness postdocs - come work with Michael Pitts and myself (and many others) on the GNW/IIT adversarial collaboration! We are hiring for a 2-3 years position. Details below. Please RT
pic.twitter.com/KWADZJT39l
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Tal Golan proslijedio/la je Tweet
Amazing resource to make sense and the most of reaction time distributions: https://lindeloev.github.io/shiny-rt/ pic.twitter.com/MZmfGiLTVG
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Tal Golan proslijedio/la je Tweet
We are pleased to announce CCN 2020 to be held in San Francisco on Aug 21-24. http://ccneuro.org Also, check out the videos from last year's conference! https://ccneuro.org/2019/videos.asp pic.twitter.com/pBMB2DS23D
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Tal Golan proslijedio/la je Tweet
A petition to the Association for Psychological Science to withdraw its support for the AAP letter opposing a federal effort to improve access of publicly funded research: https://www.change.org/p/the-association-for-psychological-science-the-aps-should-withdraw-its-support-from-the-aap-led-letter-to-the-white-house-933234a9-ae05-4828-a95d-c3d466ddc74f … You are welcome to adapt the letter for campaigns with other societies.
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Tal Golan proslijedio/la je Tweet
The first real application of
#blackboxbackprop is out there! It can out-of-the-box differentiate the ranking function (just by calls to torch.argsort) and help directly optimize rank-based metrics. Simple, blazing-fast, and about on-par with SOTA! https://arxiv.org/abs/1912.03500 pic.twitter.com/b4VWKMUtsP
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Tal Golan proslijedio/la je Tweet
Only five days left to apply for a 4 year, fully-funded PhD position in the lab. Details below.https://twitter.com/TimKietzmann/status/1197167302145445888 …
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Tal Golan proslijedio/la je Tweet
A simple circuit model of visual cortex explains neural and behavioral aspects of attention https://biorxiv.org/cgi/content/short/2019.12.13.875534v1 …
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Tal Golan proslijedio/la je Tweet
CCN 2019 recordings are up https://ccneuro.org/2019/videos.asp Featuring
@anne_churchland@behrenstimb@bschoelkopf@gershbrain@NandoDF@nathanieldaw@neuro_kim + more Population coding, (inverse) RL, Causality, functional decoding, neuropixels, free energy, ...@CogCompNeuropic.twitter.com/eBAqS1nuzdPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Tal Golan proslijedio/la je Tweet
Latest work: A simple robust method for isolating and removing venous effects in fMRI. Acquisition agnostic (standard- or high-resolution data, GE or SE, etc.). Code and sample data available online. https://www.biorxiv.org/content/10.1101/868455v1 …pic.twitter.com/ZzBtiaCGca
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Tal Golan proslijedio/la je Tweet
Graphical representations of what happens when correlations and reaction times are reported conditional on p<0.05 and there is no effect: we get a literature of mixed results and potentially large effect sizes… https://osf.io/f5q7r/ pic.twitter.com/n8cqNQd7Il
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What kind of quantity are we estimating when we guess that 2116047814278053667325 is the best answer to
@gregeganSF's problem? 4/4Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
It seems that most people's intutation is that this expectancy grows much faster (e.g., p^-2 instead of p^-1). Why is that? is that the same kind of bias evident in the counterintuitivity of the solution to the birthday problem? 3/4
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To me, the most unintuitive piece seems to be that the expected number of repeated Bernoulli trials until success is 1/p. https://stats.stackexchange.com/questions/136806/expected-number-of-tosses-till-first-head-comes-up … So if you are drawing with replacement from a deck until you see a king of hearts, you'll need only 52 draws, on average. 2/4
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The human bias in guessing the answer to this problem is fascinating. 1/4https://twitter.com/gregeganSF/status/1202117016913506306 …
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Tal Golan proslijedio/la je Tweet
New preprint from our lab on whether deep neural networks see the way we do. With
@GeorginJacob@PramodRT9https://twitter.com/biorxiv_neursci/status/1201672640160837632 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Tal Golan proslijedio/la je Tweet
Scikit-learn 0.22 is out! New website, new plotting API, permutation variable importances, support for missing values in GBRT, KNN Imputer, Decision Tree pruning and much more. Highlights: https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html … Full changelog: https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22 …https://twitter.com/scikit_learn/status/1201847227561529346 …
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Tal Golan proslijedio/la je Tweet
1/4: The lottery ticket hypothesis suggests that by training DNNs from “lucky” initializations, we can train networks which are 10-100x smaller with minimal performance losses. In new work, we extend our understanding of this phenomenon in several ways... https://ai.facebook.com/blog/understanding-the-generalization-of-lottery-tickets-in-neural-networks …pic.twitter.com/ZXGWjBWjcz
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Tal Golan proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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ECoG researchers: here's some useful & tidy code shared by
@edden_gerber. Projecting electrodes to SUMA normalized cortical meshes is a very easy way to analyze and visualize ECoG data from multiple patients. Much better than any MNI-based solution, IMHO https://edden-gerber.github.io/neuro/ pic.twitter.com/R7TOR24iCs
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𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 𝟮: Models employing generative internal models of the digits dominated discriminative models at accounting for human judgments. 10/10
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