{"title":"A low DC-level variation retinal chip based on the neuromorphic model of on sluggish sustained ganglion cell set of rabbits","authors":"Wen-Chia Yang, X. Hsu, Li-Ju Lin, Chung-Yu Wu","doi":"10.1109/CNNA.2010.5430269","DOIUrl":null,"url":null,"abstract":"A retinal chip based on the neuromorphic model derived from the rabbit's retina called \"on sluggish sustained ganglion cell set\" is proposed in this paper. The proposed chip contains a 32 × 32 pixel array with 101 × 100 ¿m2 pixel size and the fill factor of 9.14%. Five percent inter-pixel DC level variation is achieved by adopting a linear transconductor as the V-I convertor. The function of the chip is verified by the experimental results which are consistent with biological measurement ones. The potential applications are sensor system, computer vision, and visual prosthesis.","PeriodicalId":336891,"journal":{"name":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2010.5430269","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
A retinal chip based on the neuromorphic model derived from the rabbit's retina called "on sluggish sustained ganglion cell set" is proposed in this paper. The proposed chip contains a 32 × 32 pixel array with 101 × 100 ¿m2 pixel size and the fill factor of 9.14%. Five percent inter-pixel DC level variation is achieved by adopting a linear transconductor as the V-I convertor. The function of the chip is verified by the experimental results which are consistent with biological measurement ones. The potential applications are sensor system, computer vision, and visual prosthesis.