{"title":"基于频率、振幅和空间位置的听觉注意显著性模型","authors":"Laurence Morissette, S. Chartier","doi":"10.1109/IJCNN.2015.7280825","DOIUrl":null,"url":null,"abstract":"In this paper we present a model of saliency as the driving force behind endogenous attention in auditory processing using a competitive winner take all process. The model uses frequency, amplitude and spatial location bound together by temporal correlations in an oscillatory network to create unified perceptual objects that are consistent. The model also implements the interaction with exogenous attention.","PeriodicalId":6539,"journal":{"name":"2015 International Joint Conference on Neural Networks (IJCNN)","volume":"39 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Saliency model of auditory attention based on frequency, amplitude and spatial location\",\"authors\":\"Laurence Morissette, S. Chartier\",\"doi\":\"10.1109/IJCNN.2015.7280825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present a model of saliency as the driving force behind endogenous attention in auditory processing using a competitive winner take all process. The model uses frequency, amplitude and spatial location bound together by temporal correlations in an oscillatory network to create unified perceptual objects that are consistent. The model also implements the interaction with exogenous attention.\",\"PeriodicalId\":6539,\"journal\":{\"name\":\"2015 International Joint Conference on Neural Networks (IJCNN)\",\"volume\":\"39 1\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Joint Conference on Neural Networks (IJCNN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.2015.7280825\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Joint Conference on Neural Networks (IJCNN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.2015.7280825","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Saliency model of auditory attention based on frequency, amplitude and spatial location
In this paper we present a model of saliency as the driving force behind endogenous attention in auditory processing using a competitive winner take all process. The model uses frequency, amplitude and spatial location bound together by temporal correlations in an oscillatory network to create unified perceptual objects that are consistent. The model also implements the interaction with exogenous attention.