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Shahab Bakhtiari
postdoc in computational neuroscience and machine learning at Mila - McGill || exploring representations in brains and machines
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Shahab Bakhtiari proslijedio/la je tweet
Shabnam Haghzare 12. sij
Sadly, no measure will bring back the loved ones lost. Personally, taking actions has always helped me cope with darker times. If you are the same, please consider joining us in donating to the scholarship fund set by in memory of students in (Link below)
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Javad Zarif 11. sij
A sad day. Preliminary conclusions of internal investigation by Armed Forces: Human error at time of crisis caused by US adventurism led to disaster Our profound regrets, apologies and condolences to our people, to the families of all victims, and to other affected nations. 💔
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Shahab Bakhtiari 8. sij
Odgovor korisniku/ci @AnitaKeshmirian
So sorry 😔
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Jeet Heer 5. sij
Targeting cultural sites for destruction is a war crime.
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Hessam Akhlaghpour (🧠=💻) 4. sij
Our message to . I hope he hears it. Part 1/3 “Chuck Schumer had been consistently hawkish on Iran. He has refused to call out Trump’s actions despite our constant pleas.”
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Mel_Goodale 1. sij
1/ I have been following the spirited discussion about the brain, action, and thought by , , , and others. Much of what I have to say in the following thread is no doubt self-evident to many but I thought it might be worth going over anyway.
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Shahab Bakhtiari 29. pro
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Anne Urai 29. pro
Odgovor korisniku/ci @TomRhysMarshall @HernyMV i 2 ostali
Thanks for the shout-out! We're preparing our first to be released in January, which will list The IBL, authorA, authorB, ... authorZ plus a long contribution statement in the supplement
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Shahab Bakhtiari 27. pro
Odgovor korisniku/ci @neurograce
The fact that the second one comes after the first one makes it more painful 😣
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Shahab Bakhtiari 26. pro
Odgovor korisniku/ci @AdamMarblestone @tyrell_turing
+ a specific modular architecture?! Or not?
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David Sussillo ☝️🤓 26. pro
Understanding the computational principles underlying artificial deep neural networks is likely a prerequisite for understanding the computational principles underlying biological brains.
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Shahab Bakhtiari 26. pro
Odgovor korisniku/ci @lostinfitness @KordingLab
Interesting! Cross-training also generalize better in perceptual training:
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Shahab Bakhtiari 26. pro
Odgovor korisniku/ci @neuralreckoning @KordingLab
Also, it has been known for a while that perceptual training doesn’t often generalize:
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Shahab Bakhtiari 26. pro
Odgovor korisniku/ci @KordingLab
Multi-training paradigms generalize better in brain training as well:
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Shahab Bakhtiari 26. pro
Odgovor korisniku/ci @KordingLab
Visual perceptual training, for example, doesn’t generalize when the training stimulus/task targets lower visual areas. The training effect is restricted by the specificities of the training target eg small RF etc. Isn’t it also true for muscle training?
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Shahab Bakhtiari 26. pro
Odgovor korisniku/ci @ralfer
Very cool idea! Just making a comprehensive list of important findings in each subfield is an extremely useful thing to do.
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Shahab Bakhtiari 26. pro
The experiments in this paper are brilliant, but what is more brilliant is the decade long team effort put into running these difficult experiments.
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Shahab Bakhtiari 24. pro
Odgovor korisniku/ci @hardmaru
More ironic that that was in response to that picture you posted
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Shahab Bakhtiari proslijedio/la je tweet
Drew Linsley 23. pro
Two papers accepted to ICLR 2020 -- a festivus miracle! Recurrent neural circuits for contour detection Disentangling neural mechanisms for perceptual grouping (Spotlight) With JK Kim, , Alekh Ashok, and 1/17
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Shahab Bakhtiari 23. pro
Odgovor korisniku/ci @Pascallisch @KordingLab
Exactly! In the real world usually there are some extra constraints that make bistable perceptions quite unlikely. The swing video is an exception though which I guess is due to the low resolution.
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