cortical geometry

Cortical Geometry and Wiring Serve as Powerful Inductive Biases for Recurrent Neural Networks

A new study leveraging the MICrONS functional connectomics dataset demonstrates that recurrent neural networks initialized with cortical geometry, wiring, and functional relationships consistently outperform baseline and partially constrained models across three decision-making tasks, achieving lower entropy and modular organization.