Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully deployed in neuroscience. I distinguish two types of applications of the simulation methodology in neuroscientific research. Model-oriented applications aim to use the simulation outputs to derive new hypotheses about brain organization and functioning and thus to extend current theoretical knowledge and understanding in the field. Data-oriented applications of the simulation methodology target the collection and analysis of data relevant for neuroscientific research that is inaccessible via more traditional experimental methods. I argue for a two-stage evaluation schema which helps clarify the differences and similarities between three current large-scale simulation projects pursued in neuroscience.
|Title of host publication||Vital Models: The Making and Use of Models in the Brain Sciences|
|Editors||Tara Mahfoud, Sam McLean, Nikolas Rose|
|Publication status||Published - 2017|
|Name||Progress in brain research|
- School of Politics, Philosophy, Language and Communication Studies - Lecturer in Philosophy
- Philosophy - Lecturer in Philosophy
Person: Academic, Teaching & Research