arXiv Machine Learning August 3, 2026 By Vikas N. O'Reilly-Shah, Alessandro Maria Selvitella

Embedding of Low-Dimensional Sensory Dynamics in Recurrent Networks: Implications for the Geometry of Neural Representation

Read the original on arXiv Machine Learning →

arXiv:2601. 19019v3 Announce Type: replace-cross Abstract: Neural population activity in sensory cortex is organized on low-dimensional manifolds, but why such manifolds arise and what determines their geometry remain unclear.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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