Hopfield’s Model of Patterns Recognition and Laws of Artistic Perception

Autor:	Igor Yevin, Alexander Koblyakov
Rok vydání:	2009
Předmět:	Computational neuroscience Computer science Law Perception media_common.quotation_subject Catastrophe theory Content-addressable memory Attractor network media_common
Zdroj:	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783642024689 Complex (2)
DOI:	10.1007/978-3-642-02469-6_96
Popis:	The model of patterns recognition or attractor network model of associative memory, offered by J.Hopfield 1982, is the most known model in theoretical neuroscience. This paper aims to show, that such well-known laws of art perception as the Wundt curve, perception of visual ambiguity in art, and also the model perception of musical tonalities are nothing else than special cases of the Hopfield’s model of patterns recognition.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::de3f4749c210ab2709446f5e19c7c6d8 https://doi.org/10.1007/978-3-642-02469-6_96 Zobrazit plný text záznamu