Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
505660 | Computers in Biology and Medicine | 2009 | 9 Pages |
Abstract
We introduce a framework for mining event related dynamics based on conditional FCM (CFCM). For a given set of responses, the variation in the data is summarized by means of a small set of meaningful prototypes accompanied with a low-dimensional graph capturing their relative relationships. CFCM enables prototyping in a principled manner. User-defined constraints, which are imposed by the nature of experimental data and/or dictated by the neuroscientist's intuition, direct the process of knowledge extraction and can robustify single-trial analysis. The method is introduced using simulated data and demonstrated using actual encephalographic data.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Christos N. Zigkolis, Nikolaos A. Laskaris,