Seungbum Baek, J. Eshraghian, Kyoung-Rok Cho, Nicolangelo Iannella, Jun-Ho Kim, H. Iu, T. Fernando, K. Eshraghian
{"title":"Live demonstration: Signal flow platform implementation into retinal cell pathway","authors":"Seungbum Baek, J. Eshraghian, Kyoung-Rok Cho, Nicolangelo Iannella, Jun-Ho Kim, H. Iu, T. Fernando, K. Eshraghian","doi":"10.1109/APCCAS.2016.7804033","DOIUrl":null,"url":null,"abstract":"This live demonstration implements an established signal flow platform with its foundation derived from a system of nonlinear integral equations in a MATLAB simulation environment, characterizing the functional behavior of the signal that traverses from the photoreceptor to the ganglion cell in the vision processing architecture. While an increase in computational speed over the conventional method of solving a system of nonlinear ordinary differential equations (ODEs) has been confirmed for a single ganglion cell, the notion is extended to a retinal dual-pathway simulation which provides for a significantly improved adoption for organic mechanisms. There are various numerical methods in solving such a system which all have a bearing on both speed and error, and as such, systematic analyses using two common forms of integral solving methods are shown to improve the overall performance of simulating the extended pathway of the retinal model.","PeriodicalId":6495,"journal":{"name":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","volume":"4 1","pages":"740-741"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCCAS.2016.7804033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This live demonstration implements an established signal flow platform with its foundation derived from a system of nonlinear integral equations in a MATLAB simulation environment, characterizing the functional behavior of the signal that traverses from the photoreceptor to the ganglion cell in the vision processing architecture. While an increase in computational speed over the conventional method of solving a system of nonlinear ordinary differential equations (ODEs) has been confirmed for a single ganglion cell, the notion is extended to a retinal dual-pathway simulation which provides for a significantly improved adoption for organic mechanisms. There are various numerical methods in solving such a system which all have a bearing on both speed and error, and as such, systematic analyses using two common forms of integral solving methods are shown to improve the overall performance of simulating the extended pathway of the retinal model.