Symmetry Breaking and Goldstone Modes in Neural Nets

E. Pessa
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E. Pessa: University of Rome “La Sapienza”, Department of Mathematics

A chapter in Biomathematics and Related Computational Problems, 1988, pp 677-684 from Springer

Abstract: Abstract In this paper a well-known homogeneous neural net model undergoing a temporal symmetry-breaking transition is studied in order to see if, after the transition, there is the appearance of Goldstone modes. These latters have been found only im an approximate way; there are indications, however, that they should play a prominent role when the tissue is subjected to external inputs. This circumstance should be essential in explaining how a given net can store complex inputs and give subsequently ordered outputs.

Date: 1988
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DOI: 10.1007/978-94-009-2975-3_61

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