A Visual Encoding Model Based on Contrastive Self-Supervised Learning for Human Brain Activity along the Ventral Visual Stream

Visual encoding models are important computational models for understanding how information is processed along the visual stream. Many improved visual encoding models have been developed from the perspective of the model architecture and the learning objective, but these are limited to the supervise...

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Detalles Bibliográficos
Autores principales: Li, Jingwei, Zhang, Chi, Wang, Linyuan, Ding, Penghui, Hu, Lulu, Yan, Bin, Tong, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391143/
https://www.ncbi.nlm.nih.gov/pubmed/34439623
http://dx.doi.org/10.3390/brainsci11081004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391143/
https://www.ncbi.nlm.nih.gov/pubmed/34439623
http://dx.doi.org/10.3390/brainsci11081004

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