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Jorge Bravo
bravo-abad.bsky.social
did:plc:7wmk3bubp5e26q5s3s2y4e2o
Yoshida and Toyoizumi present a biologically inspired learning method for nonlinear dimensionality reduction, matching t-SNE performance using Hebbian updates and global feedback. This approach may explain how brains reduce high-dimensional data in simple circuits. https://www.science.org/doi/10.1126/sciadv.adp9048
2025-02-06T09:24:42.553Z