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Christophe Pallier
@chrplr
Followers
214
Following
36
Statuses
55
homo sapiens drinking too much coffee
Paris, France
Joined January 2011
RT @ImagingNeurosci: All NeuroImage and NeuroImage:Reports editors have resigned over the high publication fee, and are starting a new non-…
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RT @zhanminye: Happy to share our 7T fMRI paper about reading in bilinguals, with @chrplr , @aakashagr92 , @StanDehaene , and Laurent Cohe…
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RT @spiantado: Large language models change everything for linguistics, starting with Chomsky. Featuring: LLMs as scientific theories, res…
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RT @JeanRemiKing: Predictions in brains and large language models: Our latest and is out at Nature Human Behavior:
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RT @a_pasquiou: Joint work with @lakretz,@BertrandThirion,@chrplr. Thanks to @nilearn, @InriaMind, @NeuroSpin_91, @UNICOG1, @Inria_Saclay,…
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RT @a_pasquiou: Glad to share our #ICML2022 paper “Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps”. In thi…
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RT @spiantado: Everyone seems to think it's absurd that large language models (or something similar) could show anything like human intelli…
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RT @GaelVaroquaux: The efficiency put by institutions in breaking sci-hub seems to dwarf that put in funding science. It reveals how moral…
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RT @ZackBornstein: I could write jokes for 800 years and I'd never think of something funnier than Trump booking the Four Seasons for his b…
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RT @leonardblier: Many journalists and political leaders in France explain that the pandemic is growing faster than expected. Here are the…
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J'avais été prodigieusement irrité par un "cours" d'épistémologie de Monsieur Raoult qui était d'une inculture crasse. Merci à @CovaFlorian de remettre les pendules à l'heure !
Mon article sur la "philosophie des sciences" de Didier Raoult est en ligne sur Medium. Plongez avec moi dans les méandres de l'épistémologie bourrée du fameux professeur marseillais :
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RT @SteveStuWill: Baby elephant runs straight to his mum when he trips while chasing birds. The same tendency is found in humans too: Young…
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@EChabriere "moins il y besoin de puissance stat" -> NON. La puissance stat d'un test se calcule *a priori* avec une estimation de la taille d'effet. Plus celle ci est grande, plus l'effectif nécessaire pour atteindre une certaine puissance est petit. On ne baisse pas la puissance stat!
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@FranckRamus @StanDehaene "Priceless picture" indeed: Emmanuel wore a tie! Maybe it is a fake after all ;-).
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