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Prikvačeni tweet
Super deep, feedforward DNNs might not be so lucrative to neuroscientists, so we built CORnet-S, a simple recurrent model mapped onto brain areas that is on par with the state-of-the-art on Brain-Score. Paper: https://doi.org/10.1101/408385 , code+weights: http://github.com/dicarlolab/CORnet …pic.twitter.com/qTaDjKJhK2
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Jonas Kubilius proslijedio/la je Tweet
Great talk today
@NeurIPSConf from@martin_schrimpf and@qbilius from@JamesJDiCarlo lab@MIT. Recurrent connections important to explain visual processing in cortex.#compneuro#visualcortex@BMI_WesternU@Brains_CANpic.twitter.com/heIy1QUEd6
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Announcing Brain-Score, an integrative platform for comparing models to primate visual system, and CORnet-S, the current state-of-the-art model on Brain-Score. Learn more at our poster 190 at
#NeurIPS2019 on Thursday morning. With@martin_schrimpfhttps://github.com/dicarlolab/neurips2019 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jonas Kubilius proslijedio/la je Tweet
Let's build a model of the brain! How? Come to our oral presentation at
#NeurIPS2019 to find out -- we are presenting Brain-Score (quantifying match-to-brain) and CORnet-S (a shallow recurrent model that is more brain-like). Also streamed at https://slideslive.com/38921797/track-1-session-5 …. w/@qbiliuspic.twitter.com/3XjSxqTDEM
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Jonas Kubilius proslijedio/la je Tweet
https://www.nature.com/articles/s42256-018-0002-3 … Great paper, but makes me really curious about how that Nature Machine Intelligence boycott is working out https://openaccess.engineering.oregonstate.edu/signatures
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Jonas Kubilius proslijedio/la je Tweet
Excited to organize a
#COSYNE2019 workshop on future challenges for brain-like deep-nets with@KamilaJozwik on March 04, 2019 in Cascais, Portugal. Our discussion panel could benefit from your discussions/feedback/questions. Check out more here: https://kohitij.com/2018/12/09/gearing-up-for-a-workshop-cosyne-2019/ …pic.twitter.com/GNDUc1RWgXPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jonas Kubilius proslijedio/la je Tweet
Deep artificial neural networks can predict the neural responses along the ventral visual pathway fairly well. They are imperfect yet useful. Find out how we used these networks to control the activity of single neurons in high level visual sensory cortex. https://www.biorxiv.org/content/early/2018/11/04/461525 …pic.twitter.com/xZt81WIB5f
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Jonas Kubilius proslijedio/la je Tweet
#SFN2018 is so full of random experiments and results — I don’t know who is going to put all of this together into a single model of anything..With every poster I am more and more convinced that#brainscore@qbilius@martin_schrimpf (http://brain-score.org ) is the way to go ...Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jonas Kubilius proslijedio/la je Tweet
"Don't be scared of deep nets!" says
@qbilius@MIT scientists are using#AI to understand the brain, covered by@sciencemagazine.#mcgovernMIT http://ow.ly/VdvG30lUit1@ScienceMIT@mitbrainandcog@martin_schrimpfpic.twitter.com/WymPF11XVQ
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Jonas Kubilius proslijedio/la je Tweet
Here's our effort to make success in neuroscience quantifiable. Let's move beyond our favorite intuitions as "models", and build models that actually might resemble the brain and can be falsified!https://www.biorxiv.org/content/early/2018/09/05/407007 …
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Jonas Kubilius proslijedio/la je Tweet
Interested in brain-like neural networks at
#CCN2018? Stop by the Brain-Score and CORnet poster starting at 7:30 pm! w/@qbilius@JamesJDiCarlopic.twitter.com/aVo5fl88XK
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Jonas Kubilius proslijedio/la je Tweet
Five years ago, deep convolutional NNs inspired by brain science advanced to become the best models of the brain's visual processing. Since then, CV/ML has created more complex models, without regard to the brain. Here we aim to follow the brain science:https://doi.org/10.1101/408385
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Jonas Kubilius proslijedio/la je Tweet
One of my dreams is to help accelerate progress in the brain sciences and AI by defining shared goals and facilitating ways to work toward them as a larger community of data collectors and model builders. We share a concrete step here called Brain-Score: http://biorxiv.org/cgi/content/short/407007v1 …
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Jonas Kubilius proslijedio/la je Tweet
Very deep NNs are not a good match for ventral visual pathway activity.
@qbilius@JamesJDiCarlo & CO build new ANNs with recurrent and skip connections + monitor both performance and the match between each new model and primate brain and behavioral data.https://www.biorxiv.org/content/early/2018/09/04/408385 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jonas Kubilius proslijedio/la je Tweet
Two new papers on computational models of the brain: http://Brain-Score.org (https://doi.org/10.1101/407007 ) is a composite benchmark quantifying brain-likeness of neural networks; CORnet (https://doi.org/10.1101/408385 ) is a top model with a brain-like architecture w/
@qbilius@JamesJDiCarlopic.twitter.com/W94zOdlv6d
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Some co-author handles went missing:
@rishi_raj@KohitijKar@PouyaBashivan@dyamins@JamesJDiCarloPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ever wondered which deep nets were most brain-like? (spoiler: not the best ImageNet models) Check out http://Brain-Score.org and our latest paper https://doi.org/10.1101/407007 ! Winners: DenseNet-169, ResNet-101 and... CORnet-S - read on...pic.twitter.com/z23WouiBN7
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Just heard of @NipsConference new name proposals: a NALS conference -- you thought NIPS sounded bad?; SNIPS -- appears to emphasize speedy snippets of short-term results; and ICLIPS -- the one directly leading to maximizing papers clips (https://en.wikipedia.org/wiki/Instrumental_convergence#Paperclip_maximizer …). So maybe NILS?
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Spent the whole day trying to figure out how to get the pid of a process executed remotely in the background. Why a process can't just return its pid is beyond me (
#lovelinux), but the only way it works is ssh with Fabric, then run `nohup command &>/dev/null & echo $!`.Obviously!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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