{"title":"小脑皮质","authors":"E. Rolls","doi":"10.1093/acprof:oso/9780198784852.003.0023","DOIUrl":null,"url":null,"abstract":"The cerebellar cortex appears to be involved in predictive feedforward control to generate smooth movements. There is a beautiful network architecture which suggests that the granule cells perform expansion recoding of the inputs; that these connect to the Purkinje cells via an architecture that ensures regular sampling; and that each Purkinje cell has a single teacher, the climbing fibre, which produces associative long-term synaptic depression as part of perceptron-like learning.","PeriodicalId":166684,"journal":{"name":"Brain Computations","volume":"246 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cerebellar cortex\",\"authors\":\"E. Rolls\",\"doi\":\"10.1093/acprof:oso/9780198784852.003.0023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The cerebellar cortex appears to be involved in predictive feedforward control to generate smooth movements. There is a beautiful network architecture which suggests that the granule cells perform expansion recoding of the inputs; that these connect to the Purkinje cells via an architecture that ensures regular sampling; and that each Purkinje cell has a single teacher, the climbing fibre, which produces associative long-term synaptic depression as part of perceptron-like learning.\",\"PeriodicalId\":166684,\"journal\":{\"name\":\"Brain Computations\",\"volume\":\"246 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain Computations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/acprof:oso/9780198784852.003.0023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Computations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/acprof:oso/9780198784852.003.0023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The cerebellar cortex appears to be involved in predictive feedforward control to generate smooth movements. There is a beautiful network architecture which suggests that the granule cells perform expansion recoding of the inputs; that these connect to the Purkinje cells via an architecture that ensures regular sampling; and that each Purkinje cell has a single teacher, the climbing fibre, which produces associative long-term synaptic depression as part of perceptron-like learning.
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