Visualisation of synchronous firing in multi-dimensional spike trains

被引：10

作者：

Stuart, L ^{[1
]}

Walter, M

Borisyuk, R

机构：

[1] Univ Plymouth, Sch Comp, Ctr Neural & Adapt Syst, Plymouth PLA 8AA, Devon, England

[2] Russian Acad Sci, Inst Math Problems Biol, Pushchino 142290, Moscow Region, Russia

来源：

BIOSYSTEMS | 2002年 / 67卷 / 1-3期

关键词：

multi-dimensional spike trains; synchronous activity; information visualisation; parallel coordinates; gravity transform; principal component analysis;

D O I：

10.1016/S0303-2647(02)00084-9

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The gravity transform algorithm is used to study the dependencies in firing of multi-dimensional spike trains. The pros and cons of this algorithm are discussed and the necessity for improved representation of output data is demonstrated. Parallel coordinates are introduced to visualise the results of the gravity transform and principal component analysis (PCA) is used to reduce the quantity of data represented whilst minimising loss of information. (C) 2002 Elsevier Science Ireland Ltd. All rights reserved.

引用

页码：265 / 279

页数：15

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