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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumn 3696 LNCS, Issue , 2005, Pages 223-228
Neural network computations with negative triggering thresholds
Author keywords

[No Author keywords available]
Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DECODING; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; SIGNAL DETECTION; STORAGE ALLOCATION (COMPUTER);
EID: 33646202799     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11550822_36     Document Type: Conference Paper
Times cited : (4)
References (9)
  • 1
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • USA
    • Hopfield, J.J.: Neural Networks and Physical Systems with Emergent Collective Computational Abilities. Proc. Nat. Acad. Sci., USA 79 (1982) 2554-2558
    • (1982) Proc. Nat. Acad. Sci. , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 2
    • 0023861743 scopus 로고
    • Bidirectional associative memories
    • Kosko, B.: Bidirectional Associative Memories. IEEE Trans. Syst., Man, Cyber. 18 (1988) 49-60
    • (1988) IEEE Trans. Syst., Man, Cyber. , vol.18 , pp. 49-60
    • Kosko, B.1
  • 3
    • 0018861680 scopus 로고
    • How does a brain build a cognitive code?
    • Grossberg, S.: How does a Brain Build a Cognitive Code? Psych. Rev. 1 (1980) 1-51
    • (1980) Psych. Rev. , vol.1 , pp. 1-51
    • Grossberg, S.1
  • 4
    • 33646184139 scopus 로고    scopus 로고
    • Determination of memory performance
    • (in Russian)
    • Gopych, P.M.: Determination of Memory Performance. JINR Rapid Communications 4[96]-99 (1999) 61-68 (in Russian)
    • (1999) JINR Rapid Communications 4[96]-99 , pp. 61-68
    • Gopych, P.M.1
  • 5
    • 33646187906 scopus 로고    scopus 로고
    • Sensitivity and bias within the Binary Signal Detection Theory, BSDT
    • Gopych, P.M.: Sensitivity and Bias within the Binary Signal Detection Theory, BSDT. Int. J. Inf. Theor. & Appl. 11 (2004) 318-328
    • (2004) Int. J. Inf. Theor. & Appl. , vol.11 , pp. 318-328
    • Gopych, P.M.1
  • 6
    • 33646188742 scopus 로고    scopus 로고
    • ROC curves within the framework of neural network assembly memory model: Some analytic results
    • Gopych, P.M.: ROC Curves within the Framework of Neural Network Assembly Memory Model: Some Analytic Results. Int. J. Inf. Theor. & Appl. 10 (2003) 189-197
    • (2003) Int. J. Inf. Theor. & Appl. , vol.10 , pp. 189-197
    • Gopych, P.M.1
  • 7
    • 33646181987 scopus 로고    scopus 로고
    • A neural network assembly memory model based on an optimal binary signal detection theory
    • Gopych, P.M.: A Neural Network Assembly Memory Model Based on an Optimal Binary Signal Detection Theory. Programming Problems (Kyiv, Ukraine) no.2-3 (2004) 473-479
    • (2004) Programming Problems (Kyiv, Ukraine) , vol.2-3 , pp. 473-479
    • Gopych, P.M.1
  • 8
    • 27544454728 scopus 로고    scopus 로고
    • Identification of peaks in line spectra using the algorithm imitating the neural network operation
    • Gopych, P.M.: Identification of Peaks in Line Spectra Using the Algorithm Imitating the Neural Network Operation. Instr. & Exper. Techn. 41 (1998) 341-346
    • (1998) Instr. & Exper. Techn. , vol.41 , pp. 341-346
    • Gopych, P.M.1
  • 9
    • 0029129408 scopus 로고
    • Receptive-field dynamics in the central visual pathways
    • DeAngelis, G.C., Ohzava, I., Freeman, R.D.: Receptive-Field Dynamics in the Central Visual Pathways. Trends in Neurosci. 18 (1995) 451-458
    • (1995) Trends in Neurosci. , vol.18 , pp. 451-458
    • DeAngelis, G.C.1    Ohzava, I.2    Freeman, R.D.3

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.