Convolutional neural networks as a model of the visual system: Past, present, and future
GW Lindsay - Journal of cognitive neuroscience, 2021 - direct.mit.edu
Convolutional neural networks (CNNs) were inspired by early findings in the study of
biological vision. They have since become successful tools in computer vision and state-of …
biological vision. They have since become successful tools in computer vision and state-of …
How biological attention mechanisms improve task performance in a large-scale visual system model
GW Lindsay, KD Miller - ELife, 2018 - elifesciences.org
How does attentional modulation of neural activity enhance performance? Here we use a
deep convolutional neural network as a large-scale model of the visual system to address …
deep convolutional neural network as a large-scale model of the visual system to address …
Levels of representation in a deep learning model of categorization
Deep convolutional neural networks (DCNNs) rival humans in object recognition. The layers
(or levels of representation) in DCNNs have been successfully aligned with processing …
(or levels of representation) in DCNNs have been successfully aligned with processing …
Understanding biological visual attention using convolutional neural networks
GW Lindsay, KD Miller - BioRxiv, 2017 - biorxiv.org
Covert visual attention has been shown repeatedly to enhance performance on tasks
involving the features and spatial locations to which it is deployed. Many neural correlates of …
involving the features and spatial locations to which it is deployed. Many neural correlates of …
[PDF][PDF] OF CATEGORIZATION
O Guest, BC Love - biorxiv.org
Deep convolutional neural networks (DCNNs) rival humans in object recognition. The layers
(or levels of representation) in DCNNs have been successfully aligned with processing …
(or levels of representation) in DCNNs have been successfully aligned with processing …
[引用][C] Modeling the impact of internal state on sensory processing
GW Lindsay - 2018 - Columbia University