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IJCNN
2007
IEEE

Self-Organizing Maps as Traveling Computational Templates

14 years 5 months ago
Self-Organizing Maps as Traveling Computational Templates
In this article we approach neural networks as computational templates that travel across various sciences. Traditionally, it has been thought that models are primarily models of some target systems: they are assumed to represent partially or completely their target systems. We argue, instead, that many computational models cannot easily be conceived of in representational terms. Rather, they can be seen as models for various epistemic endeavors. Apart from dealing with the question of representation, we discuss also what implications the genuinely cross-disciplinary computational templates such as neural networks have for the organization of science. We use Self-organizing maps as an example through which we study the aforementioned questions.
Tarja Knuuttila, Anna-Mari Rusanen, Timo Honkela
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where IJCNN
Authors Tarja Knuuttila, Anna-Mari Rusanen, Timo Honkela
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