Linking Neural Activity to Image Stimuli Through Convolutional Neural Networks: A Methodology-Reference-Cited by-同舟云学术

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Linking Neural Activity to Image Stimuli Through Convolutional Neural Networks: A Methodology

Published:2023-12-15 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
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Author:

Ronglong Xiong¹,Ling Li¹

Affiliation:

1. Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China,MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province,Chengdu,China,610054

Funder

NSFC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10386992/10385244/10387129.pdf?arnumber=10387129

Reference6 articles.

1. Modulation of neural circuits underlying temporal production by facial expressions of pain

2. Self-face evaluation and self-esteem in young females: An fMRI study using contrast effect

3. Differential engagement of brain regions within a ‘core’ network during scene construction

4. Brain hierarchy score: Which deep neural networks are hierarchically brain-like?

5. The WU-Minn Human Connectome Project: An overview

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