Jeffrey C. Erlich @jerlich@qoto.org

@geth Earth is a lot of bacteria 🦠

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 (https://ebatty.github.io/MathToolsforNeuroscience/) and discussed her amazing work with Neuromatch Academy (https://compneuro.neuromatch.io/)

Her SFN slides are here: https://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: https://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.

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: https://gist.github.com/andrewheiss/a4e0c0ab2d735625ac17ec8a081f0f32) #rstats #bayesian #brms

Dude, read this paper. https://psyarxiv.com/2uxwk/

🚨 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: https://figshare.com/articles/preprint/Data_release_-_Brainwide_map_-_Q4_2022/21400815

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: https://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: https://int-brain-lab.github.io/iblenv/notebooks_external/data_release_brainwidemap.html

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 👏🍾

The lab has two posters at SFN this year!

567.08. The rat frontal cortex encodes a value map in support of economic decisions under risk https://www.abstractsonline.com/pp8/#!/10619/presentation/69748

217.11. Distinct roles for rat premotor cortex in World-Centered versus Self-Centered Planning
https://www.abstractsonline.com/pp8/#!/10619/presentation/83705

#SFN #neuroscience

Question: how much flexibility do instances have to add/play with features (e.g. the mechanics of threading, something like QT, etc)? Is it worth thinking about the features that facilitate scientific discussion, the needs of our community, and how they might be implemented?

@rkd993 @littlegravitas

We have sooooo many tutorials :-). If you don't mind sitting down for a longer read, this is a community-written guide that goes into a lot of detail:

https://github.com/joyeusenoelle/GuideToMastodon#an-increasingly-less-brief-guide-to-mastodon

@CannabisScientist

Free ...

cannabis ...

quality ...

and standardization ...

webinar ... 😠

My first post on Mastodon: please take part in The Perception Census - help us advance research into perceptual diversity, and learn about your own powers of perception too: https://perceptioncensus.dreamachine.world/

An #introduction to eLife's new Mastodon page!

We're an #OpenAccess not-for-profit journal that publishes and reviews #research in the life and biomedical sciences.

We want to improve the way research is practised and shared in part by working with early-career researchers #ECR and supporting #OpenSource technology.

We also just announced our new publishing model that we hope will tackle an overreliance on journal titles and publishing decisions as quality measures for science and scientists.

In case someone didn't know, two books I've co-authored are freely available online for non-commercial use:

#Bayesian Data Analysis, 3rd ed (aka BDA3) at https://stat.columbia.edu/~gelman/book/ and lectures plus #rstats, #Python and #Stan code at https://avehtari.github.io/BDA_course_Aalto/

#Regression and Other Stories at https://avehtari.github.io/ROS-Examples/ including #rstats and #Stan code

The web sites also have links to the publishers' web stores if you prefer hard copies of these