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