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Symmetry breaking in neural nets

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Abstract

In this paper two well-known homogeneous models of neural nets undergoing symmetry-breaking transitions are studied in order to see if, after the transition, there is the appearance of Goldstone models. These have been found only in an approximate way; there are indications, however, that they can play a prominent role when the tissue is subjected to external inputs, constraining it to be slaved to the characteristics of those. This circumstance should be essential in explaining how a structured net can store complex inputs and give subsequently ordered outputs.

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Pessa, E. Symmetry breaking in neural nets. Biol. Cybern. 59, 277–281 (1988). https://doi.org/10.1007/BF00332916

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  • DOI: https://doi.org/10.1007/BF00332916

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