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PubMed · 12416688

Recursive self-organizing maps.

Thomas Voegtlin
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Abstract

This paper explores the combination of self-organizing map (SOM) and feedback, in order to represent sequences of inputs. In general, neural networks with time-delayed feedback represent time implicitly, by combining current inputs and past activities. It has been difficult to apply this approach to SOM, because feedback generates instability during learning. We demonstrate a solution to this problem, based on a nonlinearity. The result is a generalization of SOM that learns to represent sequences recursively. We demonstrate that the resulting representations are adapted to the temporal statistics of the input series.

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Thomas Voegtlin. Recursive self-organizing maps.. https://doi.org/10.1016/s0893-6080(02)00072-2

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