期刊
BIOSYSTEMS
卷 67, 期 1-3, 页码 265-279出版社
ELSEVIER SCI LTD
DOI: 10.1016/S0303-2647(02)00084-9
关键词
multi-dimensional spike trains; synchronous activity; information visualisation; parallel coordinates; gravity transform; principal component analysis
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.
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