3 citations · 3 across the 2 of their papers we have counts for
3 papers
cond-mat.dis-nn2025
Dynamical stability for dense patterns in attractor neural networks
Uri Cohen, Máté Lengyel
Recurrent neural networks are canonical models of biological memory. In these models, memories are represented by distributed patterns of neural activity that are stored in the rec…
cond-mat.dis-nn2022★ 3 cited
Soft-margin classification of object manifolds
Uri Cohen, Haim Sompolinsky
A neural population responding to multiple appearances of a single object defines a manifold in the neural response space. The ability to classify such manifolds is of interest, as…
cs.LG2017
Learning Data Manifolds with a Cutting Plane Method
SueYeon Chung, Uri Cohen, Haim Sompolinsky +1
We consider the problem of classifying data manifolds where each manifold represents invariances that are parameterized by continuous degrees of freedom. Conventional data augmenta…