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Prikvačeni tweet
A story of a Cortical Neuron as a Deep Artificial Neural Net: 1) Neurons in the brain are bombarded with massive synaptic input distributed across a large tree like structure - its dendritic tree. During this bombardment, the tree goes wild preprint: https://www.biorxiv.org/content/10.1101/613141v1 …pic.twitter.com/rz7KpJBHLJ
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David Beniaguev proslijedio/la je Tweet
Boston Dynamics' Atlas shows off its agility with a flawless gymnastic routine. Credit: Boston Dynamicspic.twitter.com/BuQbMmAG7z
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A
@kaggle kernel I've made a few years back, after Kobe retired from basketball. Let it be my tribute to a basketball legend. https://www.kaggle.com/selfishgene/psychology-of-a-professional-athlete …pic.twitter.com/zgayIkwcIT
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David Beniaguev proslijedio/la je Tweet
AI-driven deep rigging?! What if you could use AI to rig and animate a 2D video of a face?
#ai#deeplearning#deepfakes#vfx credits to tpocomp@ on instapic.twitter.com/EzKtKqVab5Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Beniaguev proslijedio/la je Tweet
1/3 Thank you
#NetSciX2020@HirokiSayama for a fantastic interdisciplinary conference! It's an honor and a pleasure to receive the award. I'm attaching the poster here, if it can be of any help to someone. But more importantly, also the analysis, code, and connectomics dataset. https://twitter.com/NetSciX2020/status/1219903158903697408 …pic.twitter.com/Rpk0sJfQIr
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David Beniaguev proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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David Beniaguev proslijedio/la je Tweet
For the first time, Scientists at the
@HebrewU and the@EPFL_en Blue Brain Project have formulated a unique analytical approach to the challenge of reducing the complexity of neuron models. Read the paper published in@NatureComms https://go.nature.com/2NIobD1@Oren_Amsalem@Segev_Labpic.twitter.com/SANsVj4PVl
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David Beniaguev proslijedio/la je Tweet
I often meet research scientists interested in open-sourcing their code/research and asking for advice. Here is a thread for you. First: why should you open-source models along with your paper? Because science is a virtuous circle of knowledge sharing not a zero-sum competitionpic.twitter.com/x16jgKmLFr
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David Beniaguev proslijedio/la je Tweet
Direct PhD Track in Brain Sciences: Computation and Information Processing https://elsc.huji.ac.il/education/graduate-program/graduate-apply …
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David Beniaguev 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 -
David Beniaguev proslijedio/la je Tweet
Altogether, as any other selection process, the
#cosyne2020 review is highly noisy, and it’s important to keep this in mind. For a broader perspective, here is a nice NYT article by Daniel Kahneman on confidence in selection processeshttps://nyti.ms/2kSjKrWPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Beniaguev 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 -
David Beniaguev proslijedio/la je Tweet
Just uploaded the results of Andrew Bolton's project on the algorithms underlying 3D hunting in larval zebrafish at BioRxiv. https://www.biorxiv.org/content/10.1101/755777v1?rss=1 … This was the first, of we hope many, collaborations with Josh Tenenbaum and Vikash Mansinghka's (
@vmansinghka) groups at MIT 1/5pic.twitter.com/yYGH5dgZKiPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Beniaguev proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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David Beniaguev proslijedio/la je Tweet
It's time for the 1st annual
#tweeprint census!
Since June of this year, I've been collecting as many neuroscience and neuro-related tweeprints on @tweeprint as I could find. I just analyzed all 251 of them, and wanted to share what I found. (1/n)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Beniaguev proslijedio/la je Tweet
Open data grants! Creating high quality open datasets is under-appreciated and critical to scientific progress.
@Kaggle’s awarding $2k-$5k grants to help researchers make their data open. Apply here: https://www.kaggle.com/open-data-research-grant-2020 … Help spread the word!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Beniaguev proslijedio/la je Tweet
Our new work is out in
@NeuroImage_EiC, together with@zelmanit92 and@AvivMezer! We show how to integrate multi-modal quantitative MRI for separating SLF sub-bundles in vivo. Thread follows. https://doi.org/10.1016/j.neuroimage.2019.116439 … 1/8pic.twitter.com/tiW7axSmrw
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David Beniaguev proslijedio/la je Tweet
I am proud to announce that
@naturemethods has published the paper based on the@Kaggle Human Protein Atlas competition. I want to again congratulate and thank my wonderful teammates, competition organizers, and Kaggle on this great achievement:https://www.nature.com/articles/s41592-019-0658-6 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Beniaguev proslijedio/la je Tweet
In the last years, I have tried to always publish data and code openly, as far as possible. Just received this comment from a reviewer, who did not appreciate the value of doing so: (1/n)pic.twitter.com/sXESlgDhi3
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David Beniaguev proslijedio/la je Tweet
I, for one, would be happy to get rid of the peer review theater, which creates an illusion of quality certification, but which is slow, capricious, and hinders progress, in favour of letting authors stand for their own work and doing systematic post-publication review. (4/4)
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