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PSA: There's a list of fake sci-hub mirrors going around, be careful out there! only accept mirror lists from sources you can trust! The current list of mirrors is here:

more info in a reply to the original post here:

Hot take: The absolute scientism of the left (lacking all nuance on scientific issues) is just as harmful as the anti-science rhetorc of the right... science is nuanced, remove the nuance and all you have is dogma.

Excited for an 👋!

📝 We are Penn NeuroKnow, a blog run by PhD students in the University of Pennsylvania’s Neuroscience Graduate Group.

👩‍🔬 👨‍🔬 Our goal is to share our love of neuroscience with you all. Each post breaks down a different topic in neuroscience, ranging from general neuroscience knowledge to summaries of exciting new studies that are changing how we think about the brain.

🧠 Recent topics have included why we get the hiccups, how the octopus controls its arms, and how neuroscientists are starting to realize that what they thought was noise might not actually be so noisy.

⏰ We’ll be sharing links to our latest posts with short summaries every Tuesday when they go live. We’re looking forward to sharing our posts and engaging with the community here!

My argument, at its core, is that to do that, we need to teach people why science deserves their trust – and this requires teaching how science works as a social institution. I've written about this in brief in a Science American article:

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On day 9 of , we’d like to share with you this beautiful image of the human connectome. Can you believe that it’s already 10 years since it was on the cover of Muse’s album?

More than happy to land here! I am a neuroscientist interested in the dog-human bond. 😃 💞 🐶 Using fMRI, I help uncover how dog brains perceive their social world.

I am not alone in this endeavor. Besides brilliant human colleagues worldwide, I have two amazing furry colleagues, Odín and Kun-kun. 


A video abstract of our last paper

#dogsofmastodon #caninescience #neuroscience #scicomm #introductionpost

Can you spot the circles?

It took me a long time. Once you see them, they'll seem obvious.

This is the Coffer Illusion, by Anthony Norcia

On day 8 of , we ponder whether we will ever be able to explain the brain in simple terms. It's a trainee's take, so would love to hear what the experts think:

It's strange how as you get better at something, the world conspires to have you spend less time doing it.

Shared by my Daughter
"I need privacy, not because my actions are questionable, but because your judgement and intentions are"

In response to "if you have nothing to hide you have nothing to fear"

On day 7 of we do a little imagination exercise and picture what would’ve happened had fMRI been invented 100 years earlier:
Spoiler alert: it might’ve given phrenology the wrong kind of boost.
What do you think would’ve happened?

𝗗𝗼𝗲𝘀 𝗯𝗿𝗮𝗶𝗻 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗰𝗮𝘂𝘀𝗲 𝗰𝗼𝗻𝘀𝗰𝗶𝗼𝘂𝘀𝗻𝗲𝘀𝘀?


Neuroscience & Philosophy Salon discusses Matthew Larkum's lab's paper.

Please join @cdj and I and help solve consciousness!

Here's the paper that will be the focus of our discussion:

Please register.
Dec 8, noon EST-US:


On the sixth day of our , we would like to talk about a debunked concept in neuroscience: learned helplessness. In short, it turns out that helplessness is not actually learned, but it's the default response when faced with prolonged inescapable adversity.

What we find really cool is also the fact that some of the researchers who popularized the concept and conducted a lot of research on it are the same who realized they had gotten it backwards.

Read more here:

At this point it will surprise no one, but I asked #ChatGPT to define bullshit and to cite its sources.

It provided definitions from the Cambridge English Dictionary and the Merriam-Webster Dictionary.

The definitions it provided were entirely reasonable, but they were decidedly not from the sources it claimed.

This highlights the fact that ChatGPT and other LLMs are not knowledge models, they are themselves engines trained to produce convincing bullshit.

Below: ChatGPT, CED, MW.

Day 5 of is a bit late, because somehow the academic end of the year implies doing a year's worth of work in three weeks 😅 But it's a good one.

I recently found out that awake dog fMRI is something that we can do and there's basically an entire subfield of "dog neuroscience". I also recently discovered Gregory Berns' book, "How Dogs Love Us", and I'm looking forward to a wholesome Christmas read.

Did you know about this? Have you read the book? Do you know any cool insights from this field? Would love to discuss.

Howdy Mastodon, #introduction time 🤠 ​

I am the PI of the Lifespan Neural Dynamics Group (LNDG) at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research in Berlin​.

Using comp. models and in vivo methods, we study how and why the brain fluctuates so markedly across moments, and what those fluctuations tell us about cognition, development, and disease.

If you write the word "noise" in a post, my ears will probably ring​ 😅

Looking forward to the 🎢 that is :mastodon:!

Dear fellow scientists, I know it's been said many times before but please please make a Google Scholar page and make it public? It makes life so much easier when going through tens and tens of unknown names (like I'm doing right now to help select symposia for a conference): one can find your latest papers, your most cited papers, etc. And if you have some principled objection to Scholar or to their stock-market-style citation counter, I get it and that's fine, but at least do

With #Galactica and #ChatGPT I'm seeing people again getting excited about the prospect of using language models to "access knowledge" (i.e. instead of search engines). They are not fit for that purpose --- both because they are designed to just make shit up and because they don't support information literacy. Chirag Shah and I lay this out in detail in our CHIIR 2022 paper:


Been looking for strong networks of #scicomm content creators on YouTube who actively support and promote each other. Any leads? Especially in the fields of #neuroscience and #biology

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