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ICANN
2005
Springer

Information Visualization for Knowledge Extraction in Neural Networks

14 years 5 months ago
Information Visualization for Knowledge Extraction in Neural Networks
In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artificial and natural neural systems. Two case studies are presented. The first demonstrates the use of various information visualization methods for the identification of neuronal structure (e.g. groups of neurons that fire synchronously) in spiking neural networks. The second study applies similar techniques to the study of embodied cognitive robots in order to identify the complex organization of behaviour in the robot’s neural controller.
Liz J. Stuart, Davide Marocco, Angelo Cangelosi
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICANN
Authors Liz J. Stuart, Davide Marocco, Angelo Cangelosi
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