PhilSci Archive

The epistemic value of brain-machine systems for the study of the brain

Datteri, Edoardo (2016) The epistemic value of brain-machine systems for the study of the brain. [Preprint]

WarningThere is a more recent version of this item available.
[img] Text
bionics-revised - with author's name.doc

Download (202kB)

Abstract

Bionic systems, connecting biological tissues with computer or robotic devices through brain-machine interfaces, can be used in different ways to discover biological mechanisms. Here I will outline the methodology followed in a wide class bionics-supported experiments for the study of the brain, which will be called the “stimulation-connection” methodology. By comparing it with other simulation-based, bionics-supported methodologies described in the literature, I will argue that the stimulation-connection methodology may assist one in discovering brain mechanisms. I will also argue that the stimulation-connection strategy differs from the “synthetic”, simulative method often followed in theoretically-driven Artificial Intelligence and cognitive (neuro)science, even though it involves machine models of biological components. In the second part of the article, I will bring the analysis of the stimulation-connection methodology to bear on some claims on the epistemic value of bionic technologies made in the recent philosophical literature. I believe that the methodological analysis proposed here may contribute to the piecewise understanding of the many ways bionic technologies can be deployed not only to restore lost sensory-motor functions, but also to discover brain mechanisms.


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

Item Type: Preprint
Creators:
CreatorsEmailORCID
Datteri, Edoardoedoardo.datteri@unimib.it
Additional Information: Submitted. Still awaiting for reviewers' comments.
Keywords: Prosthetic systems, Bionic systems, Methodology of Artificial Intelligence, Methodology of biorobotics, Philosophy of Cognitive Science
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Computer Science > Artificial Intelligence
General Issues > Experimentation
Specific Sciences > Biology > Neuroscience
General Issues > Technology
Depositing User: Dr. Edoardo Datteri
Date Deposited: 11 Jun 2016 02:19
Last Modified: 11 Jun 2016 02:19
Item ID: 12180
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Computer Science > Artificial Intelligence
General Issues > Experimentation
Specific Sciences > Biology > Neuroscience
General Issues > Technology
Date: 2016
URI: http://philsci-archive.pitt.edu/id/eprint/12180

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item