Cargando…
Representing Multiple Visual Objects in the Human Brain and Convolutional Neural Networks
Objects in the real world often appear with other objects. To recover the identity of an object whether or not other objects are encoded concurrently, in primate object-processing regions, neural responses to an object pair have been shown to be well approximated by the average responses to each con...
Autores principales: | Mocz, Viola, Jeong, Su Keun, Chun, Marvin, Xu, Yaoda |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002658/ https://www.ncbi.nlm.nih.gov/pubmed/36909506 http://dx.doi.org/10.1101/2023.02.28.530472 |
Ejemplares similares
-
Multiple visual objects are represented differently in the human brain and convolutional neural networks
por: Mocz, Viola, et al.
Publicado: (2023) -
The contribution of object identity and configuration to scene representation in convolutional neural networks
por: Tang, Kevin, et al.
Publicado: (2022) -
Limits to visual representational correspondence between convolutional neural networks and the human brain
por: Xu, Yaoda, et al.
Publicado: (2021) -
Publisher Correction: Limits to visual representational correspondence between convolutional neural networks and the human brain
por: Xu, Yaoda, et al.
Publicado: (2021) -
Decision-making from temporally accumulated conflicting evidence: The more the merrier
por: Mocz, Viola, et al.
Publicado: (2023)