期刊
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
卷 2005, 期 19, 页码 3113-3121出版社
HINDAWI LTD
DOI: 10.1155/ASP.2005.3113
关键词
brain-machine interfaces; nonnegative matrix factorization; spatiotemporal patterns; neural firing activity
We propose the use of nonnegative matrix factorization (NMF) as a model-independent methodology to analyze neural activity. We demonstrate that, using this technique, it is possible to identify local spatiotemporal patterns of neural activity in the form of sparse basis vectors. In addition, the sparseness of these bases can help infer correlations between cortical firing patterns and behavior. We demonstrate the utility of this approach using neural recordings collected in a brain-machine interface (BMI) setting. The results indicate that, using the NMF analysis, it is possible to improve the performance of BMI models through appropriate pruning of inputs.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据