The Brain as a Multi-layered Map Scales and Reference Points for Pattern Recognition in Neuroimaging
Margarita Zaleshina, Alexander Zaleshin
Moscow Institute of Physics and Technology, Moscow, Russia
(Zaleshina, terbiosorg)@gmail.com
The paper provides an overview of brain mapping in neuroscience and describe the application of spatial data processing techniques to represent the brain as a multi-layered map.
As a result of analogous experiences in spatial data processing, researchers in the neuroscience and geoscience fields communicate in nearly the same language and use similar tools and techniques.
This review summarized the areas of interest common to brain mapping and GIS mapping, including:
– Processing large numbers of images;
– Rapid conversion of coordinates in individual brains;
– Precise positioning of brain activity and neuroimaging data in the map of an individual brain;
– Optimization of classifiers using existing GIS classifiers;
– Modelling of dynamic brain maps and investigating brain connectivity; and
– Positioning and navigation tasks.
