Article

Modeling responses of macaque and human retinal ganglion cells to natural images using a convolutional neural network

2024-03-27

Abstract excerpt

Linear-nonlinear (LN) cascade models provide a simple way to capture retinal ganglion cell (RGC) responses to artificial stimuli such as white noise, but their ability to model responses to natural images is limited. Recently, convolutional neural network (CNN) models have been shown to produce light response predictions that were substantially more accurate than those of a LN model. However, this modeling approac...

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Identifiers and source

Literature Corpus work: 7ee1df35-202d-572a-80a1-4702bd5c1526
DOI: 10.1101/2024.03.22.586353

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