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Автор Kaname Toya
Автор Kunihiko Fukushima
Автор Yoshiyuki Kabashima
Автор Masato Okada
Дата выпуска 2000-04-14
dc.description We discuss the properties of equilibrium states in an autoassociative memory model storing hierarchically correlated patterns (hereafter, hierarchical patterns). We will show that symmetric mixed states (hereafter, mixed states) are bistable on the associative memory model storing the hierarchical patterns in a region of the ferromagnetic phase. This means that the first-order transition occurs in this ferromagnetic phase. We treat these contents with a statistical mechanical method (SCSNA) and by computer simulation. Finally, we discuss a physiological implication of this model. Sugase et al (1999 Nature 400 869) analysed the time-course of the information carried by the firing of face-responsive neurons in the inferior temporal cortex. We also discuss the relation between the theoretical results and the physiological experiments of Sugase et al .
Формат application.pdf
Издатель Institute of Physics Publishing
Название Bistability of mixed states in a neural network storing hierarchical patterns
Тип paper
DOI 10.1088/0305-4470/33/14/308
Print ISSN 0305-4470
Журнал Journal of Physics A: Mathematical and General
Том 33
Первая страница 2725
Последняя страница 2737
Выпуск 14

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