Unsupervised alignment reveals structural commonalities and differences in neural representations of natural scenes across individuals and brain areas

Summary: Neuroscience research aims to identify universal neural mechanisms underlying sensory information encoding by comparing neural representations across individuals, typically using Representational Similarity Analysis. However, traditional methods assume direct stimulus correspondence across...

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Bibliographic Details
Main Authors: Ken Takeda, Kota Abe, Jun Kitazono, Masafumi Oizumi
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:iScience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004225006881
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