Electromagnetic waves enable low-energy, parallel computation. Your brain has them. If humans can figure this out, 4 billion years of evolution could too. Programmable wave-based analog computing machine: a metastructure that designs metastructures www.nature.com/articles/s41... #neuroscience

We now have a CRC-specific starter pack! ✨ Let me know if you are a member and would like to be added! ⤵️

The first computational neuroscience of pain conference is coming to Aarhus! Sign up now. Awesome line up. @francescafardo.bsky.social @torwager.bsky.social @christianbuchel.bsky.social and more!

38M! 🎉

Join us at #NeurIPS2025 for our Data on the Brain & Mind workshop! We aim to connect machine learning researchers and neuroscientists/cognitive scientists, with a focus on emerging datasets. More info: data-brain-mind.github.io

Neural models for detection and classification of brain states and transitions www.nature.com/articles/s42... #neuroscience

🚨 New paper out in GigaScience! To avoid common pitfalls in multivariate modeling: combine external validation with pre-registration — freeze your model before testing. For the pros: decide on the fly when to stop training! First-authored by the brilliant @ggallitto.bsky.social

➡️New paper out with ELH members Balint Kincses and Ulrike Bingel: "External validation of machine learning models-registered models and adaptive sample splitting". 🍾 pubmed.ncbi.nlm.nih.gov/40366867/

Our new manuscript discussing pre-registration of predictive modelling studies and the importance of external validations is out now, published in GigaScience. Give a look at it here: doi.org/10.1093/giga... #machinelearning #neuroscience #neuroimaging #bioinformatics

❄️ The Christmas release is here! ❄️ Introducing scikit-learn 1.6 with: 🟢 2 major features & 34 improvements 🔵 5 efficiency boosts & 21 enhancements 🟡 14 API changes 🔴 30 fixes 👥 160 amazing contributors youtu.be/7wiHChpwJe8

OHBM has confirmed that Dec 17 is a hard deadline for abstracts.

Please help us test the first release candidate for scikit-learn 1.6: pip install scikit-learn==1.6.0rc1 Changelog: scikit-learn.org/1.6/whats_ne... In particular, if you maintain a project with a dependency on scikit-learn, please let us know about any regression.

We are proud of this piece related to our science communication project! 🤩 We present a teaching and learning concept addressing placebo and nocebo effects in competency-based communication training👩‍⚕️ The paper: pubmed.ncbi.nlm.nih.gov/39415814/ The project: treatment-expectation.de/projekte-peo...

To find all Starter Packs go here: blueskydirectory.com/starter-pack...

Are you a neuroscientist interested in sustainability, but don't know who to follow? 🤔 You're in luck! Here's a starter pack of neuroscientists who post about climate, and researchers who work in the intersection of neuro/psych and climate change! 🌱Msg if you want to be added! go.bsky.app/E1iW12T

Welcome @nilearn.bsky.social to Bluesky! Nilearn is an amazing package for neuroimaging analysis in Python - certainly one of the most heavily used packages in our lab.

A starter pack of layer-fMRI folks here: go.bsky.app/TUWFNzg

Made a new starter pack with folks who use brain-based predictive models in their analyses! Let me know if you'd like to be added. 🧠🤖📋 go.bsky.app/BDv5bd3

Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems - this looks like a fun paper by @trackingactions.bsky.social, related to a great talk she recently gave at Stanford. looking forward to reading it!

My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch. fleuret.org/dlc/ And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!) fleuret.org/lbdl/

Scikit-learn is on bluesky 🧡💙

For the Blueskyers interested in #NeuroAI 🧠🤖, I created a starter pack! Please comment on this if you are not on the list and working in this field 🙂 go.bsky.app/CscFTAr

🔵 New Paper 🔵 Happy to announce that our paper linking predictive learning and representational geometry in the human 🧠 is out today in #NatureComms! with @drjuliamoser.bsky.social, Hubert Preissl and Markus Siegel 📜👉 nature.com/articles/s41467-024-54032-4

If you have the feeling that @bsky.app is different, maybe you are right. The current migration is breaking the typical rich-get-richer effect wrt other platforms #scaling Data: Twitter: 10.9M users BlueSky (Mar 2024): 4.1M users, 🙏 @andreajpg.bsky.social Mastodon: 3.8M users, 🙏 @tiago.skewed.de

Ever wonder if and how the 🧠 learns task-irrelevant sensory associations between 👂-👁 stimuli? Check out our preprint! www.biorxiv.org/content/10.1... with @marco-d.bsky.social , Clara Rastelli, @ggallitto.bsky.social, Christoph Braun and Andrea Caria

❓Question for cognitive scientists studying natural vision ❓ Do you know any algorithm for generating videos that matches some features of natural videos? I only know this from Vinken 2014 J Neurosci that scramble the phase of videos in both space and time. please comment!🙏 #NeuroAI #compneuro

#NeuanderUDE: Wie funktioniert unser Gehirn? Reicht unser Wissen aus, um menschliches Verhalten vorhersagen zu können? Dr. Tamás Spisák, neuer Professor für prädiktive #Neurowissenschaften an der Med. Fakultät, entwickelt dafür Biomarker am Uniklinikum Essen. www.uni-due.de/2024-02-01-b... .

New work! Compact deep neural network models of visual cortex B. Cowley, P. Stan, J. Pillow*, M. Smith* tiny.cc/dmxhvz Task-driven DNN models nicely predict neural responses but have millions of params---next to impossible to explain. Do they need to be so large?