{"title":"Biophysical basis, stability, and directional response characteristics of multiplicative lateral inhibitory neural networks","authors":"A. Bouzerdoum, R. B. Pinter","doi":"10.1109/IJCNN.1989.118458","DOIUrl":null,"url":null,"abstract":"Summary form only given, as follows. A directionally selective nonlinear lateral inhibitory neural network is proposed. The network originates from the biophysical mechanism of shunting inhibition. Its stability and some of its directional response characteristics are examined. The most significant property of this network is its differential response to stimuli moving in opposite directions. This directional response is found to vary with the mean input strength level, the size and speed of moving objects, as well as with coupling among elements of the network.<<ETX>>","PeriodicalId":199877,"journal":{"name":"International 1989 Joint Conference on Neural Networks","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International 1989 Joint Conference on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.1989.118458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Summary form only given, as follows. A directionally selective nonlinear lateral inhibitory neural network is proposed. The network originates from the biophysical mechanism of shunting inhibition. Its stability and some of its directional response characteristics are examined. The most significant property of this network is its differential response to stimuli moving in opposite directions. This directional response is found to vary with the mean input strength level, the size and speed of moving objects, as well as with coupling among elements of the network.<>
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