Unidirectional Brain-Computer Interface: Artificial Neural Network Encoding Natural Images to FMRI Response in the Visual Cortex-Reference-Cited by-同舟云学术

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Unidirectional Brain-Computer Interface: Artificial Neural Network Encoding Natural Images to FMRI Response in the Visual Cortex

Published:2024-04-14 Issue: Volume:34 Page:1851-1855
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Liang Ruixing¹,Zhang Xiangyu¹,Li Qiong²,Wei Lai¹,Liu Hexin¹,Kumar Avisha¹,Kempski Leadingham Kelley M.¹,Punnoose Joshua¹,Garcia Leibny Paola¹,Manbachi Amir¹

Affiliation:

1. Johns Hopkins University

2. Pennsylvania State University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10446366.pdf?arnumber=10446366

Reference30 articles.

1. Intermediate acoustic-to-semantic representations link behavioral and neural responses to natural sounds

2. Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models;Khosla

3. Survey of encoding and decoding of visual stimulus via FMRI: an image analysis perspective

4. A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

5. BOLD5000, a public fMRI dataset while viewing 5000 visual images

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