Retina Modeling by Artificial Neural Networks
The objective of this article is to provide a theoretical framework for the structure and function of the retina. The first focus of this article is the examination of the physiological aspects of the retina. The given study proposes a model that utilizes artificial neural networks to create the mod...
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| Language: | English |
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2024-03-01
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| Series: | Advances in Engineering and Intelligence Systems |
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| Online Access: | https://aeis.bilijipub.com/article_193335_6b7ef83e9c2c014004afabed7d3f4923.pdf |
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| author | Amelia Stewart |
| author_facet | Amelia Stewart |
| author_sort | Amelia Stewart |
| collection | DOAJ |
| description | The objective of this article is to provide a theoretical framework for the structure and function of the retina. The first focus of this article is the examination of the physiological aspects of the retina. The given study proposes a model that utilizes artificial neural networks to create the model's structure. This approach is motivated by the resemblance between the behavior of the model and that of retinal cells. The neural network receives as input the intensity of light that is incident onto the retina and produces as output the activity of the retinal ganglion cells. A comparison has been conducted between the data derived by the model and the biological data. This comparative analysis demonstrates that neural networks can adequately simulate the behavior of ganglion cells. However, the effectiveness of the network is contingent upon its architectural configuration, the number of hidden layers used, and the specific learning method utilized. The experimental findings demonstrate that including the output from earlier iterations as input to the neural network results in the system exhibiting memory. This approach enhances the model's efficiency and mitigates the occurrence of periodic behavior. The model, as mentioned above, has potential applications in the development of artificial retinas, serving as a hardware implementation to restore some visual capabilities in individuals with visual impairments. |
| format | Article |
| id | doaj-art-efbec5da141b4ce585361555c98565eb |
| institution | Kabale University |
| issn | 2821-0263 |
| language | English |
| publishDate | 2024-03-01 |
| publisher | Bilijipub publisher |
| record_format | Article |
| series | Advances in Engineering and Intelligence Systems |
| spelling | doaj-art-efbec5da141b4ce585361555c98565eb2025-02-12T08:47:46ZengBilijipub publisherAdvances in Engineering and Intelligence Systems2821-02632024-03-0100301344410.22034/aeis.2023.427471.1148193335Retina Modeling by Artificial Neural NetworksAmelia Stewart0Department of Electrical and Computer Engineering, University of Victoria, Victoria, British Columbia, V8W 2Y2, CanadaThe objective of this article is to provide a theoretical framework for the structure and function of the retina. The first focus of this article is the examination of the physiological aspects of the retina. The given study proposes a model that utilizes artificial neural networks to create the model's structure. This approach is motivated by the resemblance between the behavior of the model and that of retinal cells. The neural network receives as input the intensity of light that is incident onto the retina and produces as output the activity of the retinal ganglion cells. A comparison has been conducted between the data derived by the model and the biological data. This comparative analysis demonstrates that neural networks can adequately simulate the behavior of ganglion cells. However, the effectiveness of the network is contingent upon its architectural configuration, the number of hidden layers used, and the specific learning method utilized. The experimental findings demonstrate that including the output from earlier iterations as input to the neural network results in the system exhibiting memory. This approach enhances the model's efficiency and mitigates the occurrence of periodic behavior. The model, as mentioned above, has potential applications in the development of artificial retinas, serving as a hardware implementation to restore some visual capabilities in individuals with visual impairments.https://aeis.bilijipub.com/article_193335_6b7ef83e9c2c014004afabed7d3f4923.pdfretinamodelingganglion cellneural networks |
| spellingShingle | Amelia Stewart Retina Modeling by Artificial Neural Networks Advances in Engineering and Intelligence Systems retina modeling ganglion cell neural networks |
| title | Retina Modeling by Artificial Neural Networks |
| title_full | Retina Modeling by Artificial Neural Networks |
| title_fullStr | Retina Modeling by Artificial Neural Networks |
| title_full_unstemmed | Retina Modeling by Artificial Neural Networks |
| title_short | Retina Modeling by Artificial Neural Networks |
| title_sort | retina modeling by artificial neural networks |
| topic | retina modeling ganglion cell neural networks |
| url | https://aeis.bilijipub.com/article_193335_6b7ef83e9c2c014004afabed7d3f4923.pdf |
| work_keys_str_mv | AT ameliastewart retinamodelingbyartificialneuralnetworks |