Neural representations of the perception of handwritten digits and visual objects from a convolutional neural network compared to humans

We investigated neural representations for visual perception of 10 handwritten digits and six visual objects from a convolutional neural network (CNN) and humans using functional magnetic resonance imaging (fMRI). Once our CNN model was fine‐tuned using a pre‐trained VGG16 model to recognize the vis...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Juhyeon, Jung, Minyoung, Lustig, Niv, Lee, Jong‐Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980894/
https://www.ncbi.nlm.nih.gov/pubmed/36637109
http://dx.doi.org/10.1002/hbm.26189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980894/
https://www.ncbi.nlm.nih.gov/pubmed/36637109
http://dx.doi.org/10.1002/hbm.26189

Ejemplares similares