A China propaganda tracker!
propagandascope.org

Georgia Tech’s Neuro Next Initiative has officially evolved into the Institute for Neuroscience, Neurotechnology, and Society (INNS). A new era of interdisciplinary research begins today.

🔗 neuro.gatech.edu

#Neuroscience #Neurotech #GeorgiaTech

Please repost! We're hiring a postdoc to work with me and
@salagapan.bsky.social on an exciting interdisciplinary project in human neuroscience and brain-body interactions underlying effortful behavior in health and mood disorders.

siplab.gatech.edu/postdoc_ad_2...

Discovering cognitive strategies with tiny recurrent neural networks - Nature Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...

Don't understand the downers on LLMs' usefulness. Today they helped me:
- write a script to resize SVG figures to prep for publication
- reformat LaTeX tables
- debug my LaTeX build for me, actually finding the exact error I had missed

GH Copilot's agent mode has made it especially easy

I'm a libertarian, so I don't necessarily support all government spending, but the public should be at the very least aware of the benefits of science:
publicusaresearchbenefits.com

Open Source Pledge Our companies feast year after year at the Open Source table. It's time to settle up.

Very proud to announce that @posit.co has joined the opensourcepledge.com. We're committing to spending $2000 / developer / year to support open source software that we use (but don't develop): posit.co/blog/posit-p... #rstats #pydata

Event-based backpropagation on the neuromorphic platform SpiNNaker2 Neuromorphic computing aims to replicate the brain's capabilities for energy efficient and parallel information processing, promising a solution to the increasing demand for faster and more efficient ...

🤖 🧠 🧪 New #Preprint Alert! Imagine AI systems that can learn and adapt on-chip while displaying minimal energy usage. We've just made a step towards unlocking the final piece of the puzzle needed to deploy neuromorphic at scale using SpiNNaker2! (1/8)
arxiv.org/abs/2412.15021

At NeurIPS and care about dynamical systems models for neuroscience? Come check out Yenho Chen presenting his poster on "Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics" on Wed at 4:30pm (#3910).