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Department of Cognitive Science

Measuring representation

Lars Marstaller (lars.marstaller@maccs.mq.edu.au)
Macquarie Centre for Cognitive Science, Macquarie University, Sydney
Arend Hintze (arend_hintze@kgi.edu)
Keck Graduate Institute for Applied Life Sciences, Claremont, CA
Christoph Adami (adami@kgi.edu)
Keck Graduate Institute for Applied Life Sciences, Claremont, CA

Abstract

We present a measure of representation in neural networks that we call ‘R’, which is based on information theory. We show how R relates to an analysis of distributed representation, viz. a principal components analysis of activation space. Finally, we argue that R is well suited to measure representation in neural networks.

Citation details for this article:

Marstaller, L., Hintze, A., Adami, C. (2010). Measuring representation. In W. Christensen, E. Schier, and J. Sutton (Eds.), ASCS09: Proceedings of the 9th Conference of the Australasian Society for Cognitive Science (pp. 232-237). Sydney: Macquarie Centre for Cognitive Science.

DOI: 10.5096/ASCS200935
Download the PDF here

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