@Eurosport_FR « ah ouais ?? let’s gooo »

A interview with Brendan Le Grange about my research in neuroscience and wine:

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

Reidar Riveland & @pouget_alex model instructed action, showing that shared structure in task and semantic representations allows language to compose practiced skills in novel settings https://t.co/E6wdKTRSSE

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. https://t.co/YMkI3KLvct

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.

And I’m looking for postdocs/students to help with the follow up studies. Being a wine snob not required. The first author of the present study, Michael Schartner, doesn’t even drink!

A huge thanks to my partner in crime, Stephanie Marchand of the ISVV in Bordeaux who was crazy enough to work with a neuroscientist whose only credential in her field was the ability to drink large amount of wine

For the more daring among you, the original article:

And for those of you who don’t understand American English, a proper English version:

AI/machine learning finally put to good use without any risk of humanity being wiped out:

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 @shenoystanford

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.

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/

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

🚨 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)

Another #MyoChallenge top-submission for the `Baoding Ball` Task. This time from the stiff_fingers team (@pablo_tano8 @chiappa_alberto @nisheet0 @pouget_alex @TrackingPlumes) ! 1 week until the end of phase 1! 🏃

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!

Supplementary tweet! Do you want to reproduce our reproducibility effort? Check out our extensive shared methods here: https://t.co/MdMfYAJytk and all the code we used to produce these figures here:

🚨Pre-print announcement!🚨 We are excited to share our new pre-print addressing an important issue in systems neuroscience: reproducibility. 🧵 (1/8) https://t.co/n0MWWlPFIG