Continuous Attractor that Appears in Autoassociative Memory Model Extended to XY Spin System

被引:3
|
作者
Kimoto, Tomoyuki [1 ]
Uezu, Tatsuya [2 ]
Okada, Masato [3 ,4 ]
机构
[1] Oita Natl Coll Technol, Oita 8700152, Japan
[2] Nara Womens Univ, Grad Sch Sci & Humanities, Nara 6308506, Japan
[3] Univ Tokyo, Grad Sch Frontier Sci, Kashiwa, Chiba 2778561, Japan
[4] RIKEN, Brain Sci Inst, Wako, Saitama 3510198, Japan
关键词
XY spin; Hopfield model; point attractor; continuous (line) attractor; external input; statistical mechanics; ENCODED ASSOCIATIVE MEMORY; NEURAL-NETWORK MODEL; MEAN-FIELD THEORY; STATE; PATTERNS;
D O I
10.7566/JPSJ.82.124002
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We analyzed the attractor structure in an autoassociative memory model extended to an XY spin system. We examined the attractor structures for two kinds of memory patterns: one composed of two states, 0 and pi; and the other composed of an infinite number of states [0, 2 pi). To focus on analyzing the attractor structure, we used a finite number of memory patterns. As a result of our study, we found that memory patterns composed of two states are acquired not as point attractors but as a continuous (line) attractor, and that the retrieval state of the model can change without the free energy changing from one memory pattern to another. The memory patterns are acquired as point attractors in an autoassociative memory model of an Ising spin system. Therefore, the attractor structure is changed markedly by extending the autoassociative memory model to an XY spin system. Furthermore, we found that the attractor structure changes depending on the number of states in the memory pattern, and that the memory patterns composed of an infinite number of states are not acquired as a continuous attractor.
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页数:8
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