By training CNNs with white noise images to predict neuronal responses, we found that fine structures of the retinal receptive field can be revealed.
Abstract—Deep convolutional neural networks (CNNs) have demonstrated impressive performance on many visual tasks. Recently, they became useful models for ...
Abstract—Deep convolutional neural networks (CNNs) have demonstrated impressive performance on many visual tasks. Recently, they became useful models for ...
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What is the structure of the receptive fields in the retina?
What is the receptive field in deep learning?
What are the receptive fields of neurons in the visual system?
What visual features are extracted at the level of retinal circuits?
Here we address this issue by focusing on single retinal ganglion cells with biophysical models and recording data from animals. By training CNNs with white ...
CNNs could be used to reveal structure components of neuronal circuits, and provide a powerful model for neural system identification, by training CNNs with ...
Mar 16, 2020 · Here, we address this issue by focusing on single retinal ganglion cells with biophysical models and recording data from animals. By training ...
Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks ... fine structures of the retinal receptive field can be revealed.
This is for using CNNs as a model to study the receptive fields of the retinal cells. See the publication: Yan Q, Zheng Y, Jia S, Zhang Y, Yu Z, Chen F, ...
Nov 8, 2017 · Abstract:Deep convolutional neural networks (CNNs) have demonstrated impressive performance on visual object classification tasks.
Missing: Fine Structures
... Revealing fine structures of the retinal receptive field by deep-learning networks. ... fine structures of the retinal receptive field by deep-learning networks ...