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Across scales: our neuronal cultures (🔬 top) and the distribution of dark matter in the universe (🔭 bottom)

RT @CNRS@twitter.com

#CNRSleJournal 📰 Quels sont les liens entre l’infiniment petit et l’infiniment grand ? Comment les briques fondamentales de la matière s’assemblent-elles pour former des étoiles, des galaxies ou des trous noirs ? Tout juste paru, le livre "Étonnants ... bit.ly/3EXOIqP

🐦🔗: twitter.com/CNRS/status/159611

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A group at Johns Hopkins has created a scrollable, interactive map of the entire universe, from here to the cosmic microwave background.
Extraordinary discoveries at your fingertips for free, unimaginable when I was a kid. mapoftheuniverse.net/ #astronomy #space #exploration

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Are those of you here in the #Fediverse aware of the amazing resource that is mynoise.net?

No?
Let me introduce you.

It has a medieval village #background #noise environment with toggles you can use to increase or decrease the blacksmith shop and market and horse clops (among many others).

Oh, you want a coffee shop? Sure thing.
Rain? Thunderstorm? Gotcha.
Generic white noise?
RPG thrills? Of course.
Tame that #tinnitus? Yes!

Check it out!

#soundscape #WorkSounds

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Right now everyone is still engaged in making connections and introductions, but as @PessoaBrain mentioned, we should think about ways to stimulate good #neuroscience conversations (especially sans timeline algorithm).

I don't think there is any magic formula, so I'd encourage everyone to just post what fascinates them: stray thoughts, quotes from papers and books, diagrams, contentious topics, and perhaps my favorite: 'dumb' questions. 🤓

[...]

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#introduction

I'm Tyler Morgan (she/her), a postdoc at #sfim / #nimh / #nih working on #fMRI / #layerfMRI / #7TMRI / #mrirecon methods for #neuroscience projects.

I earned my PhD in Neuroscience & Psychology from the University of Glasgow (#UofG #PsychNeuro). That work focused on predictive and contextual information in cortical feedback.

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If you were to train a team of Data Scientists to work in #MLOps how would you go about it? 

Here's the workflow I had in mind.
1. Data Ingestion
2. ETL vs ELT
3. Data Lakes & Warehouses
4. Organizing ML models
5. Packaging
6. CI/CD
7. Serving
8. Testing
9. Orchestration & Monitoring
i. K8s
ii. Serverless
10. Event Processing
11. Data Drift

What would you do differently? Any resource recommendations?

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I will never understand why people are so averse to diversity.

I like seeing trans people speaking to each other with idioms I don't get, cute girls speaking a language I can't recognize, or gay dudes priming and posing in random pics.

Seeing shit that is not for me makes me feel like I'm part of a much bigger world that still has space for me to learn and grow.

That's a big place of comfort for me. The bottomless nature of the human experience means we all have space to be fully who we are.

That's pretty cool.

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Here's a cool simulation to explore the way sampling error increases with measure complexity (from single mean, to mean difference, to 2-way interaction, etc.):

* Video: youtube.com/watch?v=dVAuWiOq4Q
* Source code: osf.io/a8nxg

I made this as part of a talk on Statistical Thinking I gave at #SFN2022.

The simulation uses the amazing switchboard package by
@LajeunesseLab

#Statistics #Reproducibility #Science

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These brains aren't real!

Very happy to share that our paper "A deep generative prior for high-resolution isotropic MR head slices" has been accepted to #SPIE Medical Imaging 2023!

We train StyleGAN3 on a carefully curated high-res #mri neuroimaging dataset and analyze the network manifold. Presentation will be in San Diego Feb 2023.

#phd #science #machinelearning #generative

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Super busy here with preparing abstracts for today's #ISMRM conference deadline. Lots of nice results from highly interdisciplinary and collaborative projects; some foundational #MRI #physics and image reconstruction, #histology, #biophysical modeling, #qMRI, #hMRI, #diffusion MRI and layer-specific #fMRI.

ismrm.org/

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The International Brain Laboratory is on Mastodon! We are 22 laboratories comprising experimental & theoretical neuroscientists. We collaborate to understand brainwide circuits for complex behavior. Looking forward to posting here!

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Reminder that my deep learning course at the University of Geneva is entirely available on-line. 1000+ slides, ~20h of screen-casts.

Full of examples in PyTorch

fleuret.org/dlc/

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How you’re born (vaginal birth vs c-section) influences your #microbiome which influences your response to #vaccination.

Relative abundances of vaginal birth-associated Bifidobacterium and Escherichia coli in the first weeks of life are positively associated with anti-pneumococcal and anti-meningococcal antibody responses.

nature.com/articles/s41467-022

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Those interested in scientific visualization (, , , ) may enjoy the videos in the Scientific Visualization Interest Group playlist:

youtube.com/playlist?list=PLfB

These videos include talks from the creators of systems like Agave, ANARI, Datoviz, , Neuroglancer, PyGfx, VizPy, and VMD. Thanks to @billkatz for organizing the series.

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Today officially marks 8 billion humans on Earth. Meanwhile humanity has wiped out 70% of wild animal populations since 1970. We don't live outside of nature.

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