کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
527269 | 869307 | 2010 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A lattice computing approach for on-line fMRI analysis A lattice computing approach for on-line fMRI analysis](/preview/png/527269.png)
We introduce an approach to fMRI analysis based on the Endmember Induction Heuristic Algorithm (EIHA). This algorithm uses the Lattice Associative Memory (LAM) to detect Lattice Independent vectors, which can be assumed to be Affine Independent, and therefore candidates to be the endmembers of the data. Induced endmembers are used to compute the activation levels of voxels as result of an unmixing process. The endmembers correspond to diverse activation patterns, one of these activation patterns corresponds to the resting state of the neuronal tissue. The on-line working of the algorithm does not need neither a previous training process nor a priori models of the data. Results on a case study compare with the results given by the state of art SPM software.
Journal: Image and Vision Computing - Volume 28, Issue 7, July 2010, Pages 1155–1161