Computational fractal-based neurosciences

an overview

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationThe Fractal geometry of the brain
EditorsAntonio Di Ieva
Place of PublicationNew York
PublisherSpringer, Springer Nature
Pages499-502
Number of pages4
ISBN (Print)9781493939954
DOIs
Publication statusPublished - 2016

Publication series

NameSpringer Series in Computational Neuroscience
PublisherSpringer

Keywords

  • artificial intelligence
  • computation
  • fractal
  • ImageJ
  • MATLAB
  • modelling
  • patterns recognition

Fingerprint Dive into the research topics of 'Computational fractal-based neurosciences: an overview'. Together they form a unique fingerprint.

  • 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