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🚨Pre-print announcement!🚨 We are excited to share our new pre-print addressing an important issue in systems neuroscience: reproducibility. 🧵 (1/8) biorxiv.org/content/10.110…

Supplementary tweet! Do you want to reproduce our reproducibility effort? Check out our extensive shared methods here: figshare.com/projects/Repro… and all the code we used to produce these figures here: github.com/int-brain-lab/…

What Brent means by great collaboration is that Chengcheng did 90% of the work, Brent 8% and me 2%. I concur, great collaboration! A huge thank to the two of them!

Another #MyoChallenge top-submission for the `Baoding Ball` Task. This time from the stiff_fingers team (Pablo Tano Alberto Chiappa Nisheet Patel Alexandre Pouget Alexander Mathis) ! 1 week until the end of phase 1! 🏃

🚨 BIG DATA RELEASE 🚨 We are beyond excited to announce the release of our Brain Wide Map of neural activity during decision making! It consists of 547 Neuropixel recordings of 32784 neurons across 194 regions of the mouse brain 🐭🧠 (1/7)

I am beyond excited to present the first preview of the Brain Wide Map dataset at the #Neuropixels Symposium at #SfN22. We will dive deep into 194 brain areas of mice making decisions, although we will only scratch the surface of this enormous dataset. Wed Nov 16, 2:55pm, SDCC 6B

To clarify: the headline number is 194 brain regions, which is totally unprecedented! The number of neurons (~30k) seems small compared to other recent data releases (~300k, Allen Inst) because we are reporting the number after strict QC; they reported the number before QC 1/

A neural model of how neural circuits can use natural language instructions to perform a task with 0 training. And how two networks can communicate via language. Latest version. biorxiv.org/content/10.110…

So sad to hear about Krishna. A brilliant scientist that transformed his field, a great mentor, a generous human that touched family, friends and colleagues #thankyoukrishna Krishna Shenoy

Ok, ok, an algorithm can guess which chateau a Bordeaux wine comes from with 100% accuracy based on chemical analysis. That is pretty cool in itself. newscientist.com/article/240628…

But what's coolest to me about this paper is that the algorithm can group wines from the right bank of Bordeaux's river Garonne (Pomerol and St-Emilion) and those from the left bank (Medoc). Plot that data and it essentially puts the river in the chart. nature.com/articles/s4200…

Reidar Riveland & Alexandre Pouget model instructed action, showing that shared structure in task and semantic representations allows language to compose practiced skills in novel settings nature.com/articles/s4159…

What will wine taste like in 2050? Find out at 'le big bang du vin' from Le Figaro, but only if you understand french... video.lefigaro.fr/figaro/video/b…

A interview with Brendan Le Grange about my research in neuroscience and wine: open.spotify.com/episode/2urelg…

Eurosport France « ah ouais ?? let’s gooo »