🦓CEBRA

🦓 Consistent EmBeddings of high-dimensional Recordings using Auxiliary variables | pip install cebra

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

Quite thrilled that our (@stes_io & I) US patent on #cebra for use to generate time-series embeddings was granted! https://t.co/Aqxrlto7pV

[🦓CEBRA @cebraAI]

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! https://t.co/cAYqSSVYg7

🌈🦓 #ML4Science

[🦓CEBRA @cebraAI]

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! https://t.co/cAYqSSVYg7

🌈🦓 #ML4Science

[🦓CEBRA @cebraAI]

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 👀…

https://t.co/TzGKiqnWvZ

#cebra @mwmathislab

[🦓CEBRA @cebraAI]

Exciting! There is a new demo notebook for how to use #CEBRA on @AllenInstitute OpenScope project data! 🎉 contributed by @LecoqJerome, now live at https://t.co/6g1GcuztWh

#opensourcedata 🦓🫶 #machinelearning4neuro

[🦓CEBRA @cebraAI]

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 🤯

[Yoni Couderc @yonicoud]

Population dynamics and deep-learning analyses (@cebraAI @TrackingActions) 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.

[🦓CEBRA @cebraAI]

🥳 check out the #DeepLabCut + #CEBRA work for behavioral analysis from @shaokaiyeah et al @NatureComms

https://t.co/I3w4ilEBXs ⬇️

[DeepLabCut 🦄 @DeepLabCut]

#SfN24 update: sadly, we are not there in person, but we love to see a lot of #DeepLabCut powered science is 🥳 and we are happy to retweet it! 💕 (tag us!)

👀 But, here is what we would present 🥰🔥 DeepLabCut 3.0 release candidate is up!🔥

pip install deeplabcut==3.0.0rc5

[🦓CEBRA @cebraAI]

🤩🔥

[Jérôme Lecoq @LecoqJerome]

I have been reviewing the CEBRA paper in depth. What really strikes me is the multi-sessions/animal embedding. I feel like this paper is only scratching the surface of what could be done there. For starter, we could embed across species or even between models and experiments.

[🦓CEBRA @cebraAI]

@saleh1414911 @NatureComms People can/do: https://t.co/NrV1EfHGxV

[🦓CEBRA @cebraAI]

🚨Excitingly, this new paper in @NatureComms 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! 🥳)

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🔥 SuperAnimal: Foundation pose models for animals, trained on over 80K images, our model(s) can be used in the lab or the wild 🐭🐆🐄

💜models are available within @DeepLabCut & @huggingface w/extensive model/datacards

📰https://t.co/alReOIrpw0

📄https://t.co/N7UJj8szm4

[Steeve Laquitaine, PhD @sl_neuro]

1/2 Happy to present our new findings this Thurs 16:20 at the Mathematics of Neuroscience & AI conv. https://t.co/h5cMtFvk8b. We use @TrackingActions’ lab @cebraAI to probe stimulus-induced cortical embeddings by layer, cell type, in a biophysical model of cortical microcircuit.

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

Delighted to play a small part in this tour de force from @Simon_CEChang et al !

Beautiful merger of many behavioral tasks, neural recordings, @cebraAI, opto & scRNA-seq across tasks to find flexibility (and some neg. valence stability) of neural ensembles in the amygdala 💪🔥

[Daniela Domingues @neurodaniela]

Mackenzie Mathis @TrackingActions @EPFL_en 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 @cebraAI.

@Cajal_Training @bdxneuroschool 15/20

[🦓CEBRA @cebraAI]

@AheadOfTheNerve @WeissShahaf Then I think it’s fair 😊 - MWM

[🦓CEBRA @cebraAI]

@AheadOfTheNerve @WeissShahaf I wouldn’t recommend different iterations and temperatures if you want to head-to-head compare model infoNCE loss values; consistency would be okay though, as if you want to be sure they are each trained to be across-run consistent, then fine across animals/models

[🦓CEBRA @cebraAI]

🖤🦓🥳😱 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 Weygandt Mathis, PhD @TrackingActions]

🦓 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.

📝 https://t.co/VmrRfy5V9B
💻https://t.co/RsnRWqkbGs
🦓 https://t.co/zgxSGtOpav
🧵⬇️

[🦓CEBRA @cebraAI]

#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 🦾

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🔥what was super exciting is the pre-trained encoder can be used to rapidly adapt to a new dataset, which doesn’t have the same # of neurons, etc, and by rapid, in this case less than 1 sec of new data!

(And this is with a super simple MLP NN and kNN decoder!)

[🦓CEBRA @cebraAI]

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