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Why we can't have nice things: so long Medium

I'm a nerd. I like to read about science and technology. I also like to participate - write content, answer questions, etc.

When Medium first appeared, I was excited to see a new format for content creators to directly share their work. I even paid for a subscription. But it has gone the way of Quora: click-baity titles with a ton of bad content. It's unfortunate, because some Medium content is still good, but it is too hard to separate the wheat from the chaff. Goodbye Medium.

As an aside, i think the same thing happened to Quora. When Quora first came out, i was quite active there: one of the top contributors in neuroscience. But now it is pretty terrible. The questions are repetitive and trite and the answers are often pure opinion.

I am a harmless wandering anthropologist, bringing 20 hours of free #CausalInference and #BayesianStatistics instruction to your door. From foundations of inference through DAGs, #MultilevelModels & poststratified causal effects to #GaussianProcesses, Bayesian imputation & ODEs. Theatrical trailer below. Playlist: youtube.com/playlist?list=PLDc

@eLife is there a way to download a PDF with the figure-supplements? if there is not can you make it so there is one?

🚨🚨🚨NEW PREPRINT🚨🚨🚨

A big mystery in brain research is what are the neural mechanisms that drive individual differences in higher order cognitive processes. Here we present a new theoretical and experimental framework, in collaboration with @SussilloDavid, Valerio Mante, Mikio Aoi, and Jonathan Pillow.

biorxiv.org/content/10.1101/20

1/16

Want to help redesign one of the most popular and widely-used tools for researchers?

Zotero is hiring a designer: zotero.org/jobs/ui_designer

Would do it if I could. Ideal for someone else who has great UX / product design chops.

Now that #COSYNE2023 abstracts are in I want to announce a #CIFAR workshop on #cognition, #AI and #consciousness that will take place *the day before COSYNE* (March 8) here at #Mila.

consiousnessworkshop2023.mila.

We have a great line-up and registration is *free*!

Please boost!!!!!

RT@NilsKolling@twitter.com

Excited to announce my ERC StG @ERC_Research! This means I will be recruiting soon! As its a large grant, I will be looking for multiple postDocs, Phd students and research manager. Please spread the word to anyone who might be interested! The focus of the grant will be on.. 1/5

Is writing papers really enough to trigger reforms?

4 years ago, our working group published guidelines for the support of research software:
doi.org/10.5281/zenodo.1172987

A few days ago, "Ten simple rules for funding scientific open source software" were published:
doi.org/10.1371/journal.pcbi.1

Who is supposed to read these and will reading these calls change anything in the readers' behavior?

What math do neuroscientists need to know?

A highlight of #SFN2022 was Ella Batty's answer to this question. She showed off an incredible math for neuroscientists course she has developed at Harvard with open materials (ebatty.github.io/MathToolsforN) and discussed her amazing work with Neuromatch Academy (compneuro.neuromatch.io/)

Her SFN slides are here: osf.io/s94b2

#Neuroscience #GradSchool #Math

If you are submitting an abstract to
@CosyneMeeting
this year, especially if its your first time, we at the COSYNE DEIA committee have made this video to help you out: youtu.be/0r4Nz7NGmUw

Its interviews from experienced reviewers talking about how they evaluate abstracts

@Odedrechavi It's a fair point. I think there should be more flexibility. If a student knows which lab they want to join, they should be allowed to start without required rotations. For others, brief rotations may help them find the right home.

RT @criticalneuro
I know everyone raises this every year, but why isn't there 1 portal to submit 1 reference letter per grad student on the job market that any university can access instead of having to submit to 500 different links?

Loving tidybayes + ggdist more and more and more. Check out how easy it is to plot all your priors (even the tricky LKJ distribution!) at once, automatically, with ggdist::parse_dist()! (code here: gist.github.com/andrewheiss/a4) #rstats #bayesian #brms

RT @aaronhoyland@twitter.com

It's the year of our Lord 2022 and I'm still seeing people say "Well, what did kids do before?" referring to vaccines and other modern medicine. There is no magical halcyon past where kids lived "natural" lives and thrived. You want to know what they did, Jan? THEY DIED. Often.

🐦🔗: twitter.com/aaronhoyland/statu

🚨 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 🐭🧠

All these recordings were performed in a distributed fashion in 12 different labs, spanning Europe and the US 🌎 Rigorous standardization of methods and materials allowed us to pool the data from these labs together into a single gigantic dataset 🐙

Mice are performing our standardized perceptual decision-making task in which they have to position a stimulus in the center of a screen to receive reward. The dataset contains the stimuli and decisions, but also videos from three angles and DeepLabCut pose information. We're even releasing all the raw ephys data!

We know, it's a lot. At your own pace you can read all the details about the experimental setup, the task, processing of the data, and much more in the technical paper which accompanies this data release: figshare.com/articles/preprint

To explore the data at your leisure, visit our visualization website where you can scroll through different recording sessions, look at neural activity during example trials, and see trial-based activity of single neurons: viz.internationalbrainlab.org

Do you have itchy fingers to run your models on this humongous dataset? We totally get it! Here you can find how to download the data using our API so you can fire up those computing clusters: int-brain-lab.github.io/iblenv

This was a collective effort of our stellar team, who all put in so much work to make this monumental achievement possible. Our collaboration consists of 22 PIs, 37 researchers, and 11 staff members who all worked tirelessly to bring these data to you, the community 👏🍾

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