arXiv Machine Learning By Matthew Farrell, Taro Toyoizumi

Cortex and subcortex play distinct roles over learning when cortical memory is limited

Read the original on arXiv Machine Learning →

arXiv:2606. 00667v1 Announce Type: cross Abstract: It has been proposed that the brain integrates flexible, computationally expensive cortical processing with simpler, lower-cost subcortical mechanisms to achieve resource-efficient performance greater than that of either system alone.

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

arXiv AI
Jun 18

Structured Representation Learning with Locally Linear Embeddings and Adaptive Feature Fusion

arXiv:2606. 18469v1 Announce Type: cross Abstract: Neuroscientific research has revealed that the brain encodes complex behaviors by leveraging structured, low-dimensional manifolds and dynamically fusing multiple sources of information through adaptive gating mechanisms.

By Somjit Nath, Jackson J Cone, Derek Nowrouzezahrai, Samira Ebrahimi Kahou