Learning and memory in spin-glass-like immune networks

Autor:	O Lefèvre, Giorgio Parisi
Rok vydání:	1993
Předmět:	Spin glass Artificial neural network Action (philosophy) business.industry Neuroscience (miscellaneous) External field Artificial intelligence Psychology business
Zdroj:	Network: Computation in Neural Systems. 4:39-65
ISSN:	1361-6536 0954-898X
DOI:	10.1088/0954-898x_4_1_004
Popis:	In this paper we study the dynamics of a simple spin-glass-like network, which should model the behaviour of the idotypic network of antibodies. Contrary to what happens in neural networks models, the synaptic strengths here are fixed (i.e. time independent) and the learning which we investigate is induced by the action of an external field. We also study the persistency of this effect (i.e. memory) following the learning of new ‘antigens’ induced by other external fields.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ac139acbb4bf37ff0ebc52b026ea2391 https://doi.org/10.1088/0954-898x_4_1_004 Zobrazit plný text záznamu