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Volumn , Issue , 2009, Pages 2352-2356

New variants of the differential evolution algorithm: Application for neuroscientists

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; DE ALGORITHMS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; GLOBAL MINIMA; LOCAL MINIMUMS; META HEURISTICS; METAHEURISTIC; NEURONAL ACTIVITIES; NON-LINEAR ESTIMATION;

EID: 84863767000     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (12)
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    • Besson, P.1    Popovici, V.2    Vesin, J.-M.3    Thiran, J.-P.4    Kunt, M.5
  • 2
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    • Parameter estimation of the hodgkin-huxley model using meta-heuristics: Application to neuromimetic analog integrated circuits
    • L. Buhry, S. Saïghi, A. Giremus, E. Grivel, and S. Renaud. Parameter estimation of the Hodgkin-Huxley model using meta-heuristics: application to neuromimetic analog integrated circuits. In IEEE-BioCAS08, 2008.
    • (2008) IEEE-biocas08
    • Buhry, L.1    Saïghi, S.2    Giremus, A.3    Grivel, E.4    Renaud, S.5
  • 3
    • 63649152765 scopus 로고    scopus 로고
    • Parameter estimation of various hodgkin-huxley-type neuronal models using a gradient-descent learning method
    • August
    • S. Doi, Y. Onoda, and S. Kumagai. Parameter estimation of various Hodgkin-Huxley-type neuronal models using a gradient-descent learning method. In IEEE-SICE 2002, pages 1685-1688, August 2002.
    • (2002) IEEE-SICE 2002 , pp. 1685-1688
    • Doi, S.1    Onoda, Y.2    Kumagai, S.3
  • 5
    • 67650124222 scopus 로고    scopus 로고
    • Two ways to simulate rayleigh fading based on the sinusoidal stochastic model
    • J. Grolleau, E. Grivel, and M. Najim. Two ways to simulate rayleigh fading based on the sinusoidal stochastic model. IEEE Signal Processing Letters, 15:107-110, 2008.
    • (2008) IEEE Signal Processing Letters , vol.15 , pp. 107-110
    • Grolleau, J.1    Grivel, E.2    Najim, M.3
  • 6
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    • A quantitative description of membrane current and its application to conduction and excitation in nerve
    • A. Hodgkin and A. Huxley. A quantitative description of membrane current and its application to conduction and excitation in nerve. Jour. of Physiology, 117:500-544, 1952.
    • (1952) Jour. of Physiology , vol.117 , pp. 500-544
    • Hodgkin, A.1    Huxley, A.2
  • 8
    • 35148821762 scopus 로고    scopus 로고
    • A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (abc) algorithm
    • D. Karaboga and B. Basturk. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (abc) algorithm. Jour. of Global Optimization, 39:459-471, 2007.
    • (2007) Jour. of Global Optimization , vol.39 , pp. 459-471
    • Karaboga, D.1    Basturk, B.2
  • 10
    • 51749108412 scopus 로고    scopus 로고
    • Adjusting the neuron models in neuromimetic ICs using the voltage-clamp technique
    • May
    • S. Saïghi, L. Buhry, Y. Bornat, G. N'Kaoua, J. Tomas, and S. Renaud. Adjusting the neuron models in neuromimetic ICs using the voltage-clamp technique. In IEEE-ISCAS08, pages 1564-1567, May 2008.
    • (2008) IEEE-ISCAS08 , pp. 1564-1567
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  • 11
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    • Robust parameter estimation of intensity distributions for brain magnetic resonance images
    • P. Shroeter, T. L. J. M. Vesin, and R. Meuli. Robust parameter estimation of intensity distributions for brain magnetic resonance images. IEEE Trans. on Medical Imaging, 17(2):172-186, 1998.
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.