Abstract
After the section “Fractals: What and Why?”, the last section of this book covers the software tools necessary to perform computational fractal-based analysis, with special emphasis on its applications into the neurosciences. The use of ImageJ and MATLAB, as well as other software packages, is reviewed. The current and future applications of fractal modelling in bioengineering and biotechnology are discussed as well. Perspectives on the translation of merging fractals with artificial intelligence-based methods with the final aim of pattern discrimination in neurological diseases by means of a unified fractal model of the brain are also given.
| Original language | English |
|---|---|
| Title of host publication | The Fractal geometry of the brain |
| Editors | Antonio Di Ieva |
| Place of Publication | New York |
| Publisher | Springer, Springer Nature |
| Pages | 499-502 |
| Number of pages | 4 |
| ISBN (Print) | 9781493939954 |
| DOIs | |
| Publication status | Published - 2016 |
Publication series
| Name | Springer Series in Computational Neuroscience |
|---|---|
| Publisher | Springer |
Keywords
- artificial intelligence
- computation
- fractal
- ImageJ
- MATLAB
- modelling
- patterns recognition
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Cite this
Di Ieva, A. (2016). Computational fractal-based neurosciences: an overview. In A. Di Ieva (Ed.), The Fractal geometry of the brain (pp. 499-502). (Springer Series in Computational Neuroscience). New York: Springer, Springer Nature. https://doi.org/10.1007/978-1-4939-3995-4_31