Cargando…
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...
Autores principales: | Lee, Juhyeon, Jung, Minyoung, Lustig, Niv, Lee, Jong‐Hwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
|
Materias: | |
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 |
Ejemplares similares
-
Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)
por: Ahlawat, Savita, et al.
Publicado: (2020) -
A Novel Handwritten Digit Classification System Based on Convolutional Neural Network Approach
por: Yahya, Ali Abdullah, et al.
Publicado: (2021) -
Convolutional ensembles for Arabic Handwritten Character and Digit Recognition
por: Palatnik de Sousa, Iam
Publicado: (2018) -
Convolutional neural network-based ensemble methods to recognize Bangla handwritten character
por: Shibly, Mir Moynuddin Ahmed, et al.
Publicado: (2021) -
An intelligent approach for Arabic handwritten letter recognition using convolutional neural network
por: Ullah, Zahid, et al.
Publicado: (2022)