Self-organizing maps and entropy applied to data analysis of functional magnetic resonance images

Anderson D. S. Campelo, Valcir J. C. Farias, Heliton R. Tavares, Marcus P. da C. da Rocha
2014 Applied Mathematical Sciences  
Kohonen self-organizing maps (SOM) and Shannon entropy were applied together for the analysis of data from functional magnetic resonance imaging (fMRI). To increase the efficiency of SOM in the search for patterns of activation in fMRI data, first, we applied the Shannon entropy in order to eliminate signals possibly related to noise sources. The procedure with these techniques was applied to simulated data and on real hearing experiment, the results showed that the application of entropy and
more » ... M is a good tool to the identification of areas of activity.
doi:10.12988/ams.2014.310585 fatcat:wxdgy4zrwncidmbyulwuyb4e74