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A Mixed Visual Encoding Model Based on the Larger-Scale Receptive Field for Human Brain Activity
Research on visual encoding models for functional magnetic resonance imaging derived from deep neural networks, especially CNN (e.g., VGG16), has been developed. However, CNNs typically use smaller kernel sizes (e.g., 3 × 3) for feature extraction in visual encoding models. Although the receptive fi...
Autores principales: | Ma, Shuxiao, Wang, Linyuan, Chen, Panpan, Qin, Ruoxi, Hou, Libin, Yan, Bin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775903/ https://www.ncbi.nlm.nih.gov/pubmed/36552093 http://dx.doi.org/10.3390/brainsci12121633 |
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