Fractals in the Neurosciences: A Translational Geographical Approach
Authors/Creators
- 1. Univesitatea Din Bucurest
- 2. Universitatea din Bucuresti
-
3.
Medical University of Graz
-
4.
Institut za onkologiju i radiologiju Srbije
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5.
University Children's Hospital, Belgrade
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6.
Khalifa University of Science and Technology
- 7. Computational NeuroSurgery (CNS)
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8.
Macquarie University
- 9. MacquerieUniversity Hospital
Description
Absreact
The chapter presents three new fractal indices (fractal fragmentation index, fractal tentacularity index, and fractal anisotropy index) and normalized Kolmogorov complexity with proven applicability in geographic research, developed by the authors, and the possibility of their future use in neuroscience. The research demonstrates the relevance of fractal analysis in different fields and the basic concepts and principles of fractal geometry being sufficient for the development of models relevant to the studied reality. Also, the research highlighted the need to continue interdisciplinary research based on known fractal indicators, as well as the development of new analysis methods with the translational potential between fields.
Notes (English)
I.A. and D.P. are thankful for the support of the grant of the Ministry of Research, Innovation, and Digitization, CNCS/CCCDI-UEFISCDI, project number PN-III-P2-2.1-SOL-2021-0084. https://doi.org/10.1371/journal.pone.0024796. I.A. is thankful for the porous hydrogels images from Cristina Ioana Băncilă, master’s student at Vienna University of Technology.
Files
Restricted
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Additional details
Identifiers
- ISBN
- 978-3-031-47605-1
- PMID
- 38468071
Dates
- Available
-
2024-03-10
Software
- Repository URL
- https://zenodo.org/uploads/12773255
- Development Status
- Active