PhilSci Archive

Large-scale simulations of brain mechanisms: beyond the synthetic method

Datteri, Edoardo and Laudisa, Federico (2016) Large-scale simulations of brain mechanisms: beyond the synthetic method. [Preprint]

[img] PDF
datteri-laudisa-philschiarchive.pdf

Download (463kB)

Abstract

In recent years, a number of research projects have been proposed whose goal is to build large-scale simulations of brain mechanisms at unprecedented levels of biological accuracy. Here it is argued that the roles these simulations are expected to play in neuroscientific research go beyond the “synthetic method” extensively adopted in Artificial Intelligence and biorobotics. In addition we show that, over and above the common goal of simulating brain mechanisms, these projects pursue various modelling ambitions that can be sharply distinguished from one another, and that correspond to conceptually different interpretations of the notion of “biological accuracy”. They include the ambition (i) to reach extremely deep levels in the mechanistic decomposition hierarchy, (ii) to simulate networks composed of extremely large numbers of neural units, (iii) to build systems able to generate rich behavioural repertoires, (iv) to simulate “complex” neuron models, (v) to implement the “best” theories available on brain structure and function. Some questions will be raised concerning the significance of each of these modelling ambitions with respect to the various roles played by simulations in the study of the brain.


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
Laudisa, Federicofederico.laudisa@unimib.it
Keywords: large-scale brain simulations; simulation methodologies in neuroscience; synthetic method; biological accuracy; models in neuroscience; computational neuroscience
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Computer Science > Artificial Intelligence
General Issues > Experimentation
General Issues > Explanation
Specific Sciences > Biology > Neuroscience
General Issues > Technology
Depositing User: Dr. Edoardo Datteri
Date Deposited: 23 Jan 2016 22:25
Last Modified: 23 Jan 2016 22:25
Item ID: 11879
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Computer Science > Artificial Intelligence
General Issues > Experimentation
General Issues > Explanation
Specific Sciences > Biology > Neuroscience
General Issues > Technology
Date: 2016
URI: http://philsci-archive.pitt.edu/id/eprint/11879

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item