Cargando…
Disrupted visual input unveils the computational details of artificial neural networks for face perception
BACKGROUND: Convolutional Neural Network (DCNN), with its great performance, has attracted attention of researchers from many disciplines. The studies of the DCNN and that of biological neural systems have inspired each other reciprocally. The brain-inspired neural networks not only achieve great pe...
Autores principales: | Li, Yi-Fan, Ying, Haojiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744930/ https://www.ncbi.nlm.nih.gov/pubmed/36523327 http://dx.doi.org/10.3389/fncom.2022.1054421 |
Ejemplares similares
-
Neural correlates of body and face perception following bilateral destruction of the primary visual cortices
por: Van den Stock, Jan, et al.
Publicado: (2014) -
Editorial: Integrating Computational and Neural Findings in Visual Object Perception
por: Peters, Judith C., et al.
Publicado: (2016) -
The Neural Basis of Individual Face and Object Perception
por: Watson, Rebecca, et al.
Publicado: (2016) -
Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation
por: Masoli, Stefano, et al.
Publicado: (2022) -
Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet
por: Rolls, Edmund T.
Publicado: (2012)