{"title":"Neurobiologically Plausible Computational Models","authors":"Gabriel Kreiman","doi":"10.1017/9781108649995.008","DOIUrl":null,"url":null,"abstract":"Supplementary content at http://bit.ly/2HpAqRm We have been traveling through the wonderful territory of the visual cortex, examining the properties of different brain areas and neural circuits, learning about how animals and their neurons respond to visual stimuli and what happens when different parts of the visual cortex are lesioned or artificially stimulated. It is now time to put all this biological knowledge into a theory of visual recognition and to instantiate this theory through a computational model that can see and interpret the world. En route toward this goal, here we start by discussing how scientists describe neural circuits using computational models and define the basic properties of neural networks.","PeriodicalId":302701,"journal":{"name":"Biological and Computer Vision","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological and Computer Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/9781108649995.008","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
Supplementary content at http://bit.ly/2HpAqRm We have been traveling through the wonderful territory of the visual cortex, examining the properties of different brain areas and neural circuits, learning about how animals and their neurons respond to visual stimuli and what happens when different parts of the visual cortex are lesioned or artificially stimulated. It is now time to put all this biological knowledge into a theory of visual recognition and to instantiate this theory through a computational model that can see and interpret the world. En route toward this goal, here we start by discussing how scientists describe neural circuits using computational models and define the basic properties of neural networks.