Towards realistic simulation of disease progression in the visual cortex with CNNs

Towards realistic simulation of disease progression in the visual cortex with CNNs

Abstract Convolutional neural networks (CNNs) and mammalian visual systems share architectural and information processing similarities. We leverage these parallels to develop an in-silico CNN model simulating diseases affecting the visual system. This model aims to replicate neural complexities in a...

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Bibliographic Details
Main Authors: Jasmine A. Moore, Chris Kang, Vibujithan Vigneshwaran, Emma A. M. Stanley, Ashar Memon, Matthias Wilms, Nils D. Forkert
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Deep learning
Neurodegeneration
Computational neuroscience
Posterior cortical atrophy
Computer vision
Online Access:https://doi.org/10.1038/s41598-025-89738-y

Internet

https://doi.org/10.1038/s41598-025-89738-y

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