PhilSci Archive

Descriptive multiscale modeling in data-driven neuroscience

Haueis, Philipp (2022) Descriptive multiscale modeling in data-driven neuroscience. [Preprint]

[img]
Preview
Text
Haueis_Descriptive_multiscale_modeling_neuroscience_final.pdf

Download (832kB) | Preview

Abstract

Multiscale modeling techniques have attracted increasing attention by philosophers of science, but the resulting discussions have almost exclusively focused on issues surrounding explanation (e.g., reduction and emergence). In this paper, I argue that besides explanation, multiscale tech-niques can serve important exploratory functions when scientists model systems whose organi-zation at different scales is ill-understood. My account distinguishes explanatory and descriptive multiscale modeling based on which epistemic goal scientists aim to achieve when using mul-tiscale techniques. In explanatory multiscale modeling, scientists use multiscale techniques to select information that is relevant to explain a particular type of behavior of the target system. In descriptive multiscale modeling scientists use multiscale techniques to explore lower-scale fea-tures which could be explanatorily relevant to many different types of behavior, and to deter-mine which features of a target system an upper-scale data pattern could refer to. Using mul-tiscale models from data-driven neuroscience as a case study, I argue that descriptive multiscale models have an exploratory function because they are a sources of potential explanations and serve as tools to reassess our conception of the target system.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Haueis, Philippphilipp.haueis@uni-bielefeld.de0000-0002-0935-9015
Keywords: Multiscale modeling, explanation, descriptive modeling, neuroscience, exploratory models
Subjects: Specific Sciences > Neuroscience > Cognitive Neuroscience
General Issues > Explanation
General Issues > Models and Idealization
General Issues > Structure of Theories
Specific Sciences > Neuroscience > Systems Neuroscience
Depositing User: Dr. Philipp Haueis
Date Deposited: 27 Jan 2022 05:04
Last Modified: 27 Jan 2022 05:04
Item ID: 20155
Subjects: Specific Sciences > Neuroscience > Cognitive Neuroscience
General Issues > Explanation
General Issues > Models and Idealization
General Issues > Structure of Theories
Specific Sciences > Neuroscience > Systems Neuroscience
Date: January 2022
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/20155

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item