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Forgetting Memories and Their Attractiveness.
Marinari, Enzo.
Afiliación
  • Marinari E; Dipartimento di Fisica, Sapienza Università di Roma; INFN Sezione di Roma 1; and Nanotech-CNR, UOS di Roma, 00185 Roma, Italy enzo.marinari@uniroma1.it.
Neural Comput ; 31(3): 503-516, 2019 Mar.
Article en En | MEDLINE | ID: mdl-30645177
ABSTRACT
We study numerically the memory that forgets, introduced in 1986 by Parisi by bounding the synaptic strength, with a mechanism that avoids confusion; allows remembering the pattern learned more recently; and has a physiologically very well-defined meaning. We analyze a number of features of this learning for a finite number of neurons and finite number of patterns. We discuss how the system behaves in the large but finite N limit. We analyze the basin of attraction of the patterns that have been learned, and we show that it is exponentially small in the age of the pattern.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Neural Comput Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Neural Comput Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Italia