AI RESEARCH
Statistical Learning for Latent Embedding Alignment with Application to Brain Encoding and Decoding
arXiv CS.LG
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ArXi:2603.21042v1 Announce Type: cross Brain encoding and decoding aims to understand the relationship between external stimuli and brain activities, and is a fundamental problem in neuroscience. In this article, we study latent embedding alignment for brain encoding and decoding, with a focus on improving sample efficiency under limited fMRI-stimulus paired data and substantial subject heterogeneity.