Finally our functional ultrasound imaging (fUSi) website is up and running ( with Adam Charles ). The website is focused on : 1. detailed protocols required to implement fUSi in freely moving animals 2. analysis methods to fully exploit the richness of the global brain

On the website , we have a very cool IKEA- like guide to do the surgery . Check it out here neuroultrasound.com/methods/1/

If you have not checked our functional ultrasound imaging resource website , make sure to check it out neuroultrasound.com

Want to use closed-loop or all-optical methods to improve your systems neuro experiments but are lost in the sea of new methods and parameters? Check out our new preprint/Python package! w/ Christopher Rozell Adam Charles Jeffrey Markowitz 🧵1/12 biorxiv.org/content/10.110…

Please RT. Really excited to have this released! A new code package that lets you simulate your SNN models as if it was an in vivo experiment, complete with opto stim, ephys, imaging, and closed loop control. Prototype experiments or rigorously test your models against data.

Great work led by Kyle Johnsen in collab with Jeffrey Markowitz and Adam Charles. The documentation is especially extensive with lots of tutorial examples. Thanks Dan Goodman, @romainbrette and @marcelstimberg for the great Brian simulator to build on.

2) "SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States" - Tues July 23 Similarity-constrained decomposition of multi-session sets of trials x.com/BaselessPursui… Paper: openreview.net/pdf?id=h8aTi32… code: github.com/NogaMudrik/SiB…

How can we better understand multi-state time series data? What are the hidden structures that vary across conditions? Come to our poster on 'SiBBlInGS' today at ICML Conference (1:30-3:00 pm)! With the amazing advising of Adam Charles and Gal Mishne 💔🇮🇱. arxiv.org/abs/2306.04817

How can we model non-stationarity in neural data while maintaining interpretability?🧠What if it's due to multiple co-occurring sub-circuits? Check our dLDS poster tomorrow (Thu, 11:30-1) in the ICML Conference Journal-to-Conference track. Yenho Chen Eva Yezerets (she/her) Christopher Rozell Adam Charles

2\ link to the JMLR paper: jmlr.org/papers/volume2… Johns Hopkins BME

We finally opened the call for submission to deepmath . Join us for the 7th iteration of the conference on mathematical theory of deep neural networks . Deadline is Aug 31, 2024 deepmath-conference.com/submissions

The call for submission is open for DeepMath , we have an amazing speakers line up . Come join us in Baltimore in November Adam Charles Gal Mishne 💔🇮🇱 Jeremias Sulam Kameron Decker Harris

We have an amazing line up of speakers tackling state of the art mathematical theory of deep neural networks

Reminding you to visit our functional ultrasound imaging website neuroultrasound.com The website is focused on two main themes : 1. how to streamline functional ultrasound imaging in freely moving animals as the majority of other groups are focused on head fixed

Weekly reminder to submit your best work to the conference on mathematical theory of deep neural networks

We extended the deadline for abstract submissions to Sept 14th . Come join us in Philadelphia Adam Charles Jeremias Sulam

Come join us in Philadelphia at the 8th iteration of the conference on mathematical theory of deep neural networks deepmath if you are doing theoretical work broadly defined aiming to understand deep neural networks , deep learning and other related models such as LLMs ,

Join us in Philadelphia at the 8th iteration of the conference on mathematical theory of deep neural networks deepmath, submit to DeepMath . Deadline is September 14th . All details about submission guidelines are here : deepmath-conference.com

Since 2018 we have been committed to spread knowledge , we have recorded all lectures given at DeepMath conference ( youtube.com/@deepmath9408?… ) deepmath , it is a rich archive of state of the art work on theories of deep neural networks . It can serve as teaching material and

Check out DeepMath ( deepmath ) YouTube channel. so many exciting lectures covering large swath of the theory of deep neural networks. youtube.com/@deepmath9408/…