HEBBIAN LEARNING RECONSIDERED - REPRESENTATION OF STATIC AND DYNAMIC OBJECTS IN ASSOCIATIVE NEURAL NETS

被引：70

作者：

HERZ, AV ^{[1
]}

SULZER, B ^{[1
]}

KUHN, R ^{[1
]}

VANHEMMEN, JL ^{[1
]}

机构：

[1] UNIV HEIDELBERG, SONDERFORSCHUNGSBEREICH 123, NEUENHEIMER FELD 294, D-6900 HEIDELBERG 1, FED REP GER

来源：

BIOLOGICAL CYBERNETICS | 1989年 / 60卷 / 06期

关键词：

D O I：

10.1007/BF00204701

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

引用

页码：457 / 467

页数：11

共 47 条

[1] SPIN-GLASS MODELS OF NEURAL NETWORKS [J].

AMIT, DJ ;

GUTFREUND, H .

PHYSICAL REVIEW A, 1985, 32 (02) :1007-1018

[2] STATISTICAL-MECHANICS OF NEURAL NETWORKS NEAR SATURATION [J].

AMIT, DJ ;

GUTFREUND, H ;

SOMPOLINSKY, H .

ANNALS OF PHYSICS, 1987, 173 (01) :30-67

[3]

AMIT DJ, 1987, RIP RI8749 PREPR

[4]

BOS S, 1988, THESIS U HEIDELBERG

[5]

Braitenberg V, 1967, Prog Brain Res, V25, P334

[6]

BRAITENBERG V, 1974, LECTURE NOTES BIOMAT, V4, P290

[7]

Braitenberg V, 1986, BRAIN THEORY, P81

[8] NOISE-DRIVEN TEMPORAL ASSOCIATION IN NEURAL NETWORKS [J].

BUHMANN, J ;

SCHULTEN, K .

EUROPHYSICS LETTERS, 1987, 4 (10) :1205-1209

[9]

BUHMANN J, 1985, THESIS TU MUNCHEN

[10]

Caianiello E.R., 1961, J THEOR BIOL, V2, P204

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