Classification Analysis of the Auditory Cognitive States for Sighted and Blind People Based on a Whole-brain “Searchlight SVM
When talking about auditory perception,it remains unclear how people could achieve sound identification and localization efficiently even in the middle of chaos.Though the dual-pathway model is widely held,there are still controversies in specific brain regions.Moreover,some machine learning methods are successfully applied to study neural pattern information in our brain.In this study,both sighted and blind subjects were recruited and instructed to perform a sound localization and identification task.Functional magnetic resonance imaging(fMRI)data were collected,then we used a whole brain “searchlight support vector machine(SVM)to decode the pattern information successfully.We identified the distinct cortical networks encoding sound pattern and spatial information,and we also found a large-scale cortical reorganization in blind people from a multi-voxel perspective.
sound identification sound localization blind functional magnetic resonance imaging support vector machine
Jianlong Zheng Junhai Xu
School of Computer Science and technology,Tianjin Key laboratory of Conitive Computing and Application,Tianjin University,Tianjin 300072,P.R.China
国际会议
深圳
英文
80-82
2018-01-21（万方平台首次上网日期，不代表论文的发表时间）