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Prikvačeni tweet
Our attempt to explain
#machinelearning versus#statistics is out ! :-D https://go.nature.com/2GRRgJS@shakir_za@KordingLab@jeremywaite@ogrisel@Montreal_AI@neuroconscience@atulbuttepic.twitter.com/K64RBMBwrz
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Danilo Bzdok proslijedio/la je Tweet
Wow: Google's "Meena" chatbot was trained on a full TPUv3 pod (2048 TPU cores) for **30 full days** - That's more than $1,400,000 of compute time to train this chatbot model. (! 100+ petaflops of sustained compute !)pic.twitter.com/BiPdTTG5E9
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Danilo Bzdok proslijedio/la je Tweet
We developed a new participation coefficient (PC) that explicitly accounts for the influence of module size on PC. Just out in
@netneurosci https://www.mitpressjournals.org/doi/abs/10.1162/netn_a_00127 … Work led by@MangorPedersen, together with@AOmidvarnia,@jmacshine and G. Jackson. Well done Mangor!pic.twitter.com/3kQb6bUpY5
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Danilo Bzdok proslijedio/la je Tweet
congrats to
@gabocas, thanks to@adeelrazi, out now: The physiological effects of noninvasive brain stimulation fundamentally differ across the human cortex https://advances.sciencemag.org/content/6/5/eaay2739 …#TMS#OpenData#openscience@TU_Muenchen supported by@ERC_ResearchPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Danilo Bzdok proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Danilo Bzdok proslijedio/la je Tweet
Artificial intelligence could successfully identify gender identity subtypes from brain imaging data. https://academic.oup.com/cercor/advance-article-abstract/doi/10.1093/cercor/bhz272/5669983?redirectedFrom=fulltext …pic.twitter.com/habA8BORdE
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Danilo Bzdok proslijedio/la je Tweet
Does anyone in 2020 believes that linear regr can be used for causal discovery?
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Danilo Bzdok proslijedio/la je Tweet
I am not so sure. Why? Because all my attempts to convince
@statmodeling to show us how he solves a simple causal problem (one whose solution is known in advance) ended up in failure. I lost my charm. Simpson's would be a good example#BookofwhyHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hot take: today, little consensus on how to do
#causalinference@yudapearl emphasizes “qualitative” graphical model based approach@blei_lab emphasizes latent factor analysis for ‘surrogate causes’@StatModeling: linear regr for “quantitative” causal discovery
other results !pic.twitter.com/oqzdFy30t4
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Danilo Bzdok proslijedio/la je Tweet
Pandas 1.0 is here! * Read the release notes: https://pandas.pydata.org/pandas-docs/version/1.0/whatsnew/v1.0.0.html … * Read the blogpost reflecting on what 1.0 means to our project: https://dev.pandas.io/pandas-blog/pandas-10.html … * Install with conda / PyPI: https://pandas.pydata.org/pandas-docs/version/1.0.0/getting_started/install.html … Thanks to our 300+ contributors to this release.
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Danilo Bzdok proslijedio/la je Tweet
Out now in
@Nature_NPJ#Digital#Medicine: fantastic work by Jeremy Moreau in the lab, in collab. with neurosurgeon extraordinaire Roy Dudley@McGillMed: from 60,000+ cases, to the prediction of#meningioma outcome, and a mobile app. More on that soon.https://www.mcgill.ca/neuro/channels/news/bridging-gap-between-ai-and-clinic-319552 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
#datascience du jour:#MCMC to approximate intractable posterior distributions can be viewed to operate in 3 consecutive phases: 1: after random start, get close to typical set 2: roughly explore the probability mass of typical set 3: convergence to stationarity@dngmanpic.twitter.com/mE2AmPO6Jw
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Danilo Bzdok proslijedio/la je Tweet
Our article on gene expression trajectories and neuropathology in neurodegeneration is finally out, in
@Brain1878 journal. New machine-learning method to analyze long-term molecular mechanisms in disease, and perform individual disease stating https://academic.oup.com/brain/advance-article/doi/10.1093/brain/awz400/5715097?searchresult=1 …pic.twitter.com/6pd35AixO5
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Danilo Bzdok proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Tomas Paus at lifespan research symposium in Copenhagen today: “Most people in dMRI study the major white-matter bundles. But these only make up 5-8% of the entire axons in the brain, most of which do not leave the cortex.”
@tardiftweets@R3RT0@MichelTdSHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Tomas Paus at lifespan research symposium in Copenhagen today: “In population neuroscience, I put my money on structural brain scans” 1) assesses whole brain 2) restingstate is a big blackbox 3) high retest reliability 4) we target traits, not states
@Neuro_Skeptic@mertroryHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Danilo Bzdok proslijedio/la je Tweet
I had missed this when it came out 2 months ago. Severe allegations raised against the book "Why We Sleep”, including data manipulation. Don't know enough about the topic to vet claims but appears quite thorough. Thoughts on this?https://guzey.com/books/why-we-sleep/ …
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Andrew Ng Interview with Geoffrey Hinton Makes evident how much grit and perseverance it takes to generate and defend truly novel research ideas https://youtu.be/089U2maCg0Q
@tyrell_turing@koerding@agramfort@Montreal_AI h/t:@cholzHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
#datasciene metathought: Frequentists ‘fit’ model parameters (like centroids in k-means) by estimating one best value for them. Bayesians rather ‘infer a posterior’, rather than fitting, model parameters (like latent Dirichlet allocation)@twiecki@dngman@amarquand@KordingLabpic.twitter.com/75lLRfSaGr
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#datascience thought: Markov Decision Processes (MDPs) essentially come down to hidden Markov models augmented with latent parameter matrices for action policies and value appraisal@j_foerst@neurovidaurre@shakir_zaHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
“The sample size of highly cited experimental fMRI studies increased at a rate of 0.74 participant/year”https://twitter.com/neuroccino/status/1220299719504691200 …
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