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
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...
