Come work with us! If you're not looking for an exciting new role as a Research Engagement Manager in the neurotech space, please share this ad as widely as possible to help us find the right candidate. 🧵

This is happening today at ICML!

If you're a neuroscientist, you've probably heard that congress passed final appropriations for FY24, with deep cuts (~40%) to BRAIN Initiative. Advocates are now pushing for +$740 million in FY25 and @SfNtweets made it easy for you to add your voice here: https://t.co/lxqJ7KhooW

2. Multi-Region Markovian Gaussian Process https://t.co/RWwTHsWL6E: We link GP with LDS to solve multi-region communication. It benefits from the expressiveness of multi-output GP but scales linear in time and can model switching states as LDS.

1. A Differentiable Partially Observable GLM with Forward-Backward Message Passing https://t.co/J5ONLZnT1I: We develop a powerful inference approach to solve partially observable GLMs which can model neural data with incomplete observations.

We have two acceptances at @icmlconf #ICML2024! 1. A Differentiable Partially Observable GLM with Forward-Backward Message Passing 2. Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions

@iclr_conf @Ch0iHannah @chrisXrodgers 2. One-hot Generalized Linear Model for Switching Brain State Discovery: https://t.co/KmloQBrsVK We develop a novel HMM-GLM that identifies interpretable brain states that are aligned with behaviors, which are not discoverable by previous HMM-GLM methods.

@iclr_conf @Ch0iHannah @chrisXrodgers 1. [Spotlight] Forward χ2 Divergence Based Variational Importance Sampling: https://t.co/MadXOPIyCV We develop a novel variational importance sampling that drastically improves the inference performance on various graphical models compared with variational inference.

We have one poster and one spotlight at @iclr_conf #ICLR2024! 1. [Spotlight] Forward χ2 Divergence Based Variational Importance Sampling 2. One-hot Generalized Linear Model for Switching Brain State Discovery, in collaboration with Hannah @Ch0iHannah and Chris @chrisXrodgers

Computational neuroscience colleagues, note that Georgia Tech CSE is also hiring in "computational bioscience and biomedicine". ATL has a great neuro community, especially computational neuro. Come work with us! Apply here:

📢 Georgia Tech's School of Computational Science and Engineering has multiple faculty openings! https://t.co/w6v6KwN07z Join us at the coolest CSE department in the world! @GTCSE @gtcomputing @mlatgt

Please RT! Georgia Tech ECE is hiring faculty in bioengineering with a preference for candidates aligned with an emerging institute for neuroscience, neurotech and society: https://t.co/6prqa4cQeS. Details below. Apply here by Dec 15:

Last day of our AccelNet International Network for Bio-Inspired Computation’s NeuroAI Montréal ! Today included @evadyer @neuroamyo @anqiwu_angela @leaduncker @shreyaneuroctrl. Great meeting, thanks to a crack local team, help from many sponsors incl @CIFAR_News & @pimsmath

Our second visiting seminar is today at 2:00! We hope to see you there! https://t.co/lOoZ7Gs1Ff

First present of our lab in NeurIPS : one poster https://t.co/wFiYk9kV4e and one spotlight https://t.co/KaYymenZJu. Great job guys! See you in New Orleans in December.

⚡️Announcing️Lightning Pose⚡️ A pose estimation method that learns from both labeled images and a lot of unlabeled videos, via inductive biases like temporal smoothness, posture feasibility, and multi-view consistency. Preprint: https://t.co/Ntr6hI0zZP

The EECS Rising Stars 2023 Workshop is now accepting applications 🎉Check out https://t.co/CsqiQVrTmx for more details. Deadline is July 10th. Help spread the word!

Thanks for inviting me. Really enjoy the visit. Great experience at UCSD.

Thanks for inviting! Looking forward!

# Chinese scholar # Old Montreal fire A large fire broke out in a historical building in Old Port District of Montreal, Canada at 5:45 am on Thursday. 6 people remain missing, among which is a promising young Chinese scholar, Dr. An Wu, who came to Montreal for a conference.