Vol. 8 No. 1 (2017)
Research Article

THE BRAIN AS A MULTI-LAYERED MAP. SCALES AND REFERENCE POINTS FOR PATTERN RECOGNITION IN NEUROIMAGING

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  • Margarita Zaleshina,
  • Alexander Zaleshin
Categories

Published 2017-01-01

Keywords

  • Brain mapping,
  • neuroimaging,
  • pattern recognition,
  • positioning systems in the brain

How to Cite

Zaleshina, Margarita, and Alexander Zaleshin. 2017. “THE BRAIN AS A MULTI-LAYERED MAP. SCALES AND REFERENCE POINTS FOR PATTERN RECOGNITION IN NEUROIMAGING”. European Journal of Geography 8 (1). https://eurogeojournal.eu/index.php/egj/article/view/278.

Copyright (c) 2022 European Journal of Geography

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In this paper, we provide 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.Anatomical reference points (landmarks) are determined from the topological properties
of the brain, including the shapes of sulci, gyri, and fissures. Functional reference points are
calculated by measured parameters of brain activity. Linking experimental results with spatial
and temporal reference points is a necessary step for performing a comparative analysis of
heterogeneous data regarding brain structures and activity. Using reference points helps
define coordinate systems and scales, highlight points of interest and regions of interest,
create templates, and classify data. The paper shows that spatial analysis is a convenient
approach to pattern recognition in neuroimaging. We also discuss the role of extrinsic
behavior landmark stimuli and intrinsic brain structural elements such as place cells and grid
cells in navigation tasks.

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