{"title":"在可重构可编程系统上对实施体认知的视觉注意建模","authors":"Shufan Yang, Renfa Li, Qiang Wu","doi":"10.1109/SOCC.2015.7406924","DOIUrl":null,"url":null,"abstract":"Visual attention is a voluntary mechanism allows human to allocate our sensory and computational resources to the most valuable information embedded in the vast amount of incoming visual data. Neuromorphic prosthetics with high-level cognitive function can be used to complete increasingly sophisticated tasks. Inspired by recent developments in the field of attention modulation, we propose a biological neural attention model for online visual attention and implement this model on Xilinx ZYNQ 7000 System-on-chip system.","PeriodicalId":329464,"journal":{"name":"2015 28th IEEE International System-on-Chip Conference (SOCC)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling visual attention towards embodiment cognition on a reconfigurable and programmable system\",\"authors\":\"Shufan Yang, Renfa Li, Qiang Wu\",\"doi\":\"10.1109/SOCC.2015.7406924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visual attention is a voluntary mechanism allows human to allocate our sensory and computational resources to the most valuable information embedded in the vast amount of incoming visual data. Neuromorphic prosthetics with high-level cognitive function can be used to complete increasingly sophisticated tasks. Inspired by recent developments in the field of attention modulation, we propose a biological neural attention model for online visual attention and implement this model on Xilinx ZYNQ 7000 System-on-chip system.\",\"PeriodicalId\":329464,\"journal\":{\"name\":\"2015 28th IEEE International System-on-Chip Conference (SOCC)\",\"volume\":\"149 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 28th IEEE International System-on-Chip Conference (SOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCC.2015.7406924\",\"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 28th IEEE International System-on-Chip Conference (SOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCC.2015.7406924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling visual attention towards embodiment cognition on a reconfigurable and programmable system
Visual attention is a voluntary mechanism allows human to allocate our sensory and computational resources to the most valuable information embedded in the vast amount of incoming visual data. Neuromorphic prosthetics with high-level cognitive function can be used to complete increasingly sophisticated tasks. Inspired by recent developments in the field of attention modulation, we propose a biological neural attention model for online visual attention and implement this model on Xilinx ZYNQ 7000 System-on-chip system.