arXiv cs.NE
· Papers
Identifying structural design principles shaping the computational abilities of recurrent neural networks
arXiv:2606.23874v1 Announce Type: cross Abstract: Understanding how the architecture of neural networks shapes the computations they carry is a central challenge in neuroscience and machine learning. While specific circuit architectures have been linked to particular network computations and theoretical bounds on expre