Cargando…
Recurrent connectivity supports higher-level visual and semantic object representations in the brain
Visual object recognition has been traditionally conceptualised as a predominantly feedforward process through the ventral visual pathway. While feedforward artificial neural networks (ANNs) can achieve human-level classification on some image-labelling tasks, it’s unclear whether computational mode...
Autores principales: | von Seth, Jacqueline, Nicholls, Victoria I., Tyler, Lorraine K., Clarke, Alex |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682037/ https://www.ncbi.nlm.nih.gov/pubmed/38012301 http://dx.doi.org/10.1038/s42003-023-05565-9 |
Ejemplares similares
-
The relative contributions of visual and semantic information in the neural representation of object categories
por: Victoria, Lindsay W., et al.
Publicado: (2019) -
Integrated deep visual and semantic attractor neural networks predict fMRI pattern-information along the ventral object processing pathway
por: Devereux, Barry J., et al.
Publicado: (2018) -
Task-Irrelevant Semantic Properties of Objects Impinge on Sensory Representations within the Early Visual Cortex
por: Nah, Joseph C, et al.
Publicado: (2021) -
You shall know an object by the company it keeps: An investigation of semantic representations derived from object co-occurrence in visual scenes
por: Sadeghi, Zahra, et al.
Publicado: (2015) -
The visual and semantic features that predict object memory: Concept property norms for 1,000 object images
por: Hovhannisyan, Mariam, et al.
Publicado: (2021)