@inbook{04f84b4e0b854f66b7f89d8376cba69a,
title = "Mechanisms and dynamical systems",
abstract = "The mathematical framework of dynamics, or more specifically dynamical systems theory (hereafter DST), is having a major impact across many sectors of contemporary biology and neuroscience. The DST toolkit (described in more detail shortly), which includes differential equations, geometric state-space analyses, and other visualization techniques such as attractor landscapes and bifurcation diagrams, is playing an increasingly important role in modeling and explaining the time-varying activity of biological and neural systems ranging from single neurons and local circuits to entire brain networks, biological populations, and complex ecosystems (for book-length treatments, see Abraham and Shaw 1992; Amit 1992; Izhikevich 2005; Strogatz 1994).",
author = "Kaplan, \{David Michael\}",
year = "2018",
doi = "10.4324/9781315731544.ch20",
language = "English",
isbn = "9781138841697",
series = "Routledge handbooks in philosophy",
publisher = "Taylor \& Francis",
pages = "267--280",
editor = "Glennan, \{Stuart \} and Illari, \{Phyllis \}",
booktitle = "The Routledge handbook of mechanisms and mechanical philosophy",
address = "United Kingdom",
}