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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 🧵⬇️

✨🦓🖤 Our Research Briefing can now be found at rdcu.be/dbhwe - the problem, our solution, and future directions … 🚨including how CEBRA is not limited to neural data🚨— if you use t-SNE or UMAP, consider using CEBRA for more consistent and higher accuracy results

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

👀 we have a new pypi release coming out in the next days!! Stay tuned for some nice updates! 🦓🎉

🎉🔥 CEBRA has hit 10K downloads in < 6 months, and we have a new pypi release 0.3.0 to celebrate! 🎉 Full notes: github.com/AdaptiveMotorC… thanks to Steffen Schneider Anastasiia Filippova🇺🇦 Rodrigo GL Célia Benquet Mackenzie Mathis, PhD & the new external contributors too 🙏🏼🔥🦓

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

This is really elegant work, and I 💕 this use of 🦓CEBRA 🙏🏼! Thanks to the whole team for using it to find encoding and decoding differences across 🐭information seeking 🔥

🧠 [Neural Breakthrough]: Introducing #CEBRA Mackenzie Mathis, PhD, a new method for creating interpretable neural & behavioral embeddings. Consistent, effective, and revolutionary for decoding applications! 🔗 nature.com/articles/s4158… #NeuralData #BehavioralAnalysis #CEBRA

While we're still buzzing from sharing our new preprint, I'm PUMPED to present new work with Mark Brandon, PhD. and TianMeng Xu at #SfN2023 on the dynamics of spatial reorientation in CA1 Sunday @ 1pm! We leverage augmented reality, V4 miniscopes Miniscope Team, and SSL via 🦓CEBRA

🚀 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 BIH QUEST Center

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! 🥳)