期刊
CURRENT OPINION IN NEUROBIOLOGY
卷 15, 期 5, 页码 585-592出版社
CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2005.08.002
关键词
-
资金
- NEI NIH HHS [R01 EY009314-13, 1RO1 EY9314, R01 EY009314, R01 EY009314-12A1] Funding Source: Medline
- NIMH NIH HHS [R01 MH068012-01A1, 1RO1 MH68012, R01 MH068012-02, R01 MH068012] Funding Source: Medline
Quantifying similarity and dissimilarity of spike trains is an important requisite for understanding neural codes. Spike metrics constitute a class of approaches to this problem. In contrast to most signal-processing methods, spike metrics operate on time series of all-or-none events, and are, thus, particularly appropriate for extracellularly recorded neural signals. The spike metric approach can be extended to multineuronal recordings, mitigating the 'curse of dimensionality' typically associated with analyses of multivariate data. Spike metrics have been usefully applied to the analysis of neural coding in a variety of systems, including vision, audition, olfaction, taste and electric sense.
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