@inbook{60c7b1b9f9df4e9ebf2e03b5b0665e72,
title = "The Fractal geometry of the brain: an overview",
abstract = "The first chapter of this book introduces some history, philosophy, and basic concepts of fractal geometry and discusses how the neurosciences can benefit from applying computational fractal-based analyses. Further, it compares fractal with Euclidean approaches to analyzing and quantifying the brain in its entire physiopathological spectrum and presents an overview of the first section of the book as well.",
keywords = "brain, fractals, fractal geometry, fractal analysis, multifractal, neurosciences, fractal dimension, lacunarity, self-similarity, scaling",
author = "{Di Ieva}, Antonio",
year = "2016",
doi = "10.1007/978-1-4939-3995-4_1",
language = "English",
isbn = "9781493939954",
series = "Springer Series in Computational Neuroscience",
publisher = "Springer, Springer Nature",
pages = "3--12",
editor = "{Di Ieva}, Antonio",
booktitle = "The Fractal geometry of the brain",
address = "United States",
}