1/ Cortical organization is not mere biological detail. It is computational structure.
🔥New preprint: We harness measured cortical geometry, wiring, and function from MICrONS as inductive biases for RNNs — and they drive superior learning.
https://t.co/9dnM9dGQXL
🧵 a thread
From Neuromatch Academy ➡️ Impact Scholars Program ➡️ published paper 🎉
Just published: Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks
🤓 Full story and paper link: https://t.co/tL3zmxqvHK
10/ Cortical machinery offers principled constraints for artificial systems — and a bridge between neural computation, machine learning, and the physics of structured dynamics.
You can read more here: https://t.co/YPW7owB092
#NeuroAI#MachineLearning#Connectomics
1/ Cortical organization is not mere biological detail. It is computational structure.
🔥New preprint: We harness measured cortical geometry, wiring, and function from MICrONS as inductive biases for RNNs — and they drive superior learning.
https://t.co/9dnM9dGQXL
🧵 a thread
9/ For #neuroscience: these RNNs become a controlled testbed for reverse-engineering which features of cortical organization are computationally consequential. Structure scaffolds; function constrains.
Neuroscience is a global endeavor whose main promise is curing the many brain related diseases. Global collaboration is the key to that. I am so sad that our Iranian friends will, once again, be excluded.
I spent the past three weeks serving as a TA for the Computational Neuroscience course from @neuromatch. I learned a lot from my students and I hope I was able to support them on their compneuro journey. This was truly a memorable experience. #Odin#Neuromatch2025
Grateful for an incredible journey with the @neuromatch Impact Scholars program. Congrats to my brilliant teammates, Rana and Mohammad, and our inspiring mentor. Paper in the works—stay tuned. #NeuroAI#DeepLearning
🧠 Impact Scholars Spotlight
Have you ever wondered how the brain processes information?
Mohammadhosein Shakiba, Rana Rokni, & Mohamamd Mohammadi looked at this in the #DeepLearning track!
👏 Thanks to mentor Nima Dehghani
🎬 https://t.co/mTXiOMEyFk
📄 https://t.co/NVvBXjJRlG