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Volumn 19, Issue 2, 2009, Pages 289-295

A vector model of associative memory with clipped synapses

Author keywords

[No Author keywords available]

Indexed keywords

ASSOCIATIVE MEMORIES; NETWORK SIZE; PHASE MODEL; RECOGNITION ABILITIES; SMALL NETWORKS; STORAGE CAPACITY; VECTOR MODELS;

EID: 67049132879     PISSN: 10546618     EISSN: 15556212     Source Type: Journal    
DOI: 10.1134/S1054661809020126     Document Type: Conference Paper
Times cited : (4)

References (14)
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    • Potts-Glass Models of Neural Networks
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    • Kanter, I.1
  • 2
    • 0000473620 scopus 로고
    • The Mean-Field Theory of a Q-state Neural Network Model
    • J. Cook 1989 The Mean-Field Theory of a Q-state Neural Network Model J. Phys. A 22 2000
    • (1989) J. Phys. A , vol.22 , pp. 2000
    • Cook, J.1
  • 3
    • 0007823199 scopus 로고
    • Invariant Recognition in Potts-Glass Neural Network
    • H. Vogt A. Zippelius 1992 Invariant Recognition in Potts-Glass Neural Network J. Phys. A 25 2209
    • (1992) J. Phys. A , vol.25 , pp. 2209
    • Vogt, H.1    Zippelius, A.2
  • 4
    • 3042889464 scopus 로고
    • Stability Properties of Potts Neural Networks with Biased Pattern and Low Loading
    • D. Bolle P. Dupont J. van Mourik 1991 Stability Properties of Potts Neural Networks with Biased Pattern and Low Loading J. Phys. A 24 1065
    • (1991) J. Phys. A , vol.24 , pp. 1065
    • Bolle, D.1    Dupont, P.2    Van Mourik, J.3
  • 5
    • 0007772676 scopus 로고
    • Thermodynamic Properties of the q-State Potts-Glass Neural Network
    • D. Bolle P. Dupont J. Huyghebaert 1992 Thermodynamic Properties of the q-State Potts-Glass Neural Network Phys. Rev. A 45 4194
    • (1992) Phys. Rev. A , vol.45 , pp. 4194
    • Bolle, D.1    Dupont, P.2    Huyghebaert, J.3
  • 6
    • 0042492825 scopus 로고
    • The Potts Model
    • F. Y. Wu 1982 The Potts Model Rev. Mod. Phys. 54 235
    • (1982) Rev. Mod. Phys. , vol.54 , pp. 235
    • Wu, F.Y.1
  • 7
    • 0036419653 scopus 로고    scopus 로고
    • On the Recognition Abilities of a Neural Network Using Neurons with Parametric Frequency Transformation
    • B. V. Kryzhanovsky A. L. Mikaelian 2002 On the Recognition Abilities of a Neural Network Using Neurons with Parametric Frequency Transformation Dokl. Akad. Nauk, Ser. Matem. Physics 383 3 318
    • (2002) Dokl. Akad. Nauk, Ser. Matem. Physics , vol.383 , Issue.3 , pp. 318
    • Kryzhanovsky, B.V.1    Mikaelian, A.L.2
  • 9
    • 0038148145 scopus 로고    scopus 로고
    • An Associative Memory Capable of Recognizing Strongly Correlated Patterns
    • B. V. Kryzhanovsky A. L. Mikaelian 2003 An Associative Memory Capable of Recognizing Strongly Correlated Patterns Dokl. Akad. Nauk, Ser. Informatics 390 1 27
    • (2003) Dokl. Akad. Nauk, Ser. Informatics , vol.390 , Issue.1 , pp. 27
    • Kryzhanovsky, B.V.1    Mikaelian, A.L.2
  • 11
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    • Neural Network with Non-linear Synapses and Static Noise
    • H. Sompolinsky 1986 Neural Network with Non-linear Synapses and Static Noise Phys. Rev. A 34 2571
    • (1986) Phys. Rev. A , vol.34 , pp. 2571
    • Sompolinsky, H.1
  • 12
    • 0142196223 scopus 로고
    • Nonlinear Neural Network near Saturation
    • J. L. van Hemmen 1987 Nonlinear Neural Network near Saturation Phys. Rev. A 36 1959
    • (1987) Phys. Rev. A , vol.36 , pp. 1959
    • Van Hemmen, J.L.1
  • 14
    • 0020118274 scopus 로고
    • Neural Networks and Physical Systems with Emergent Collective Computational Abilities
    • J. J. Hopfield 1982 Neural Networks and Physical Systems with Emergent Collective Computational Abilities Proc. Nat. Acad. Sci. USA 79 2554
    • (1982) Proc. Nat. Acad. Sci. USA , vol.79 , pp. 2554
    • Hopfield, J.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.