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Advancing neural decoding with deep learning

delete2025-07-11
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PRE
AI
M
Ma Feilong *
Y
Yuqi Zhang
DOI:10.1038/s43588-025-00837-2delete
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Abstract

Abstract

En 中文
A recent study introduces a neural code conversion method that aligns brain activity across individuals without shared stimuli, using deep neural network-derived features to match stimulus content.
Keywords:
neural decoding
deep learning
brain activity
neural code conversion
stimulus content

Journal

Nature Computational Science cover
Nature Computational Science
IF:
18.3
Papers:
3.1K
Citations:
5.8K

Organization

D
Dartmouth College
Scholars:
447
Papers: 220
Citations: 1.6K
Cited Papers

Cited Papers

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Inter-individual and inter-site neural code conversion without shared stimuli
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errHaibao Wang; Jun Kai Ho; Fan L. Cheng; Shuntaro C. Aoki; Yusuke Muraki; Misato Tanaka; Jong-Yun Park; Yukiyasu Kamitani
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