Reposted by Bryan M. Li
new paper, #NeuroAI 📣📜
Can measured cortical organization be used as an inductive bias for artificial recurrent neural networks?
In this work, we ask whether cortical geometry, wiring, and function can push RNNs learn.
Not as metaphor, but as measurable structure!
1/n🧵👇
arxiv.org/abs/2606.14975
arxiv.org
Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks
How the wiring and functional organization of cortex shape recurrent computation remains a central question in both neuroscience and machine learning. Here, we leverage data released through the Machi...
