Cargando…
Individual differences among deep neural network models
Deep neural networks (DNNs) excel at visual recognition tasks and are increasingly used as a modeling framework for neural computations in the primate brain. Just like individual brains, each DNN has a unique connectivity and representational profile. Here, we investigate individual differences amon...
Autores principales: | Mehrer, Johannes, Spoerer, Courtney J., Kriegeskorte, Nikolaus, Kietzmann, Tim C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665054/ https://www.ncbi.nlm.nih.gov/pubmed/33184286 http://dx.doi.org/10.1038/s41467-020-19632-w |
Ejemplares similares
-
Recurrent neural networks can explain flexible trading of speed and accuracy in biological vision
por: Spoerer, Courtney J., et al.
Publicado: (2020) -
An ecologically motivated image dataset for deep learning yields better models of human vision
por: Mehrer, Johannes, et al.
Publicado: (2021) -
Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition
por: Spoerer, Courtney J., et al.
Publicado: (2017) -
Corrigendum: Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition
por: Spoerer, Courtney J., et al.
Publicado: (2018) -
Recurrence is required to capture the representational dynamics of the human visual system
por: Kietzmann, Tim C., et al.
Publicado: (2019)