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🦓 Self-supervised multimodal ML is promising the next AI breakthrough - in our new work published in nature, we debut @CEBRAai: for self-supervised hypothesis- and discovery-driven science. 📝 doi.org/10.1038/s41586… 💻github.com/AdaptiveMotorC… 🦓 cebra.ai 🧵⬇️

🥳 You can use 🦓CEBRA within #AmadeusGPT ~> a new natural language memory enhanced ChatGPT system 🚀🔮🪄 ⭐️github.com/AdaptiveMotorC…

Exciting! There is a new demo notebook for how to use #CEBRA on Allen Institute OpenScope project data! 🎉 contributed by Jérôme Lecoq, now live at cebra.ai/docs/demos.html #opensourcedata 🦓🫶 #machinelearning4neuro

Did you know you can use #CEBRA for adapting to new animals, or decode across animals?! ⬇️

In fact, this is what this very cool preprint does, cross subject decoding using CEBRA! Mind blowing decoding across even held out cohorts of patients 🤯

🚀 We released a new version! v0.3.1 includes a new Plotly integration, which is very useful for embedding exploration in notebooks 💜🔥🚀🦓

Open Science in action: The incredibly talented Timon Merk from our ICNeuromodulation Charité team has made his first contribution to Mackenzie Mathis, PhD and Steffen Schneider 🦓CEBRA . Check out CEBRA for human decoding: bit.ly/invasiveBCI EPFL Open Science EPFL Life Sciences Charité - Universitätsmedizin Berlin @questbih

What a year! ✨🎊🦓 In 2023 #CEBRA was released 🎊 We are humbled & proud that it’s being used by many: 14K pip installs and 75 citations in 8 months 🙏🏼🚀 Thank you all ❤️— you make all the coding & work worth it! 💪 Onwards to 2024, with even more on the way 🦓🔥✨

#CEBRA🦓can be used to build a unified neural encoding model using data from many animals, and that can then be deployed on new animals for BMI-style decoding 🦾

🖤🦓🥳😱 A humbling milestone: we just hit *100* citations and >17K downloads of the software since #CEBRA was published in nature (May 2023)! Thank you to all the users and authors out there! 🖤🦓

Mackenzie Mathis Mackenzie Mathis, PhD EPFL started #Cajal2024 with an intro to the study of movement. After, she presented the challenges and accomplishments of pose estimation and the latest developments of DeepLabCut 🦄 and 🦓CEBRA. The CAJAL Advanced Neuroscience Training Programme Bordeaux School Of Neuroscience 🧠 15/20

Delighted to play a small part in this tour de force from Simon Chang et al ! Beautiful merger of many behavioral tasks, neural recordings, 🦓CEBRA, opto & scRNA-seq across tasks to find flexibility (and some neg. valence stability) of neural ensembles in the amygdala 💪🔥

1/2 Happy to present our new findings this Thurs 16:20 at the Mathematics of Neuroscience & AI conv. neuromonster.org. We use Mackenzie Mathis, PhD’ lab 🦓CEBRA to probe stimulus-induced cortical embeddings by layer, cell type, in a biophysical model of cortical microcircuit.

🚨Excitingly, this new paper in Nature Communications shows #CEBRA for behavioral analysis! Using SuperAnimal model for pose, we use 🦓 to do behavioral analysis — check us out if you are considering animal behavioral clustering 🚀🐭 (we are not only for neural data! 🥳)

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🥳 check out the #DeepLabCut + #CEBRA work for behavioral analysis from Shaokai Ye et al Nature Communications nature.com/articles/s4146… ⬇️

Population dynamics and deep-learning analyses (🦓CEBRA Mackenzie Mathis, PhD) of anterior insula single-unit recordings uncover distinct coding patterns of anxiety-provoking and safe environments, as well as tastants of positive and negative valence.

We have a new release up! Check out 0.5.0rc1!! 🔥 Important maintenance updates to keep up with dependencies, some nee features, and preparing for much more coming in the next weeks 👀… github.com/AdaptiveMotorC… #cebra M. Mathis Laboratory @EPFL

Ready to start with #CEBRA for your behavioral clustering, neural data, or joint-modeling? Check out our new demo notebook to help you learn the best practices and how to develop models! cebra.ai/docs/demo_note… 🌈🦓 #ML4Science