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Volumn 73, Issue 1, 2012, Pages 329-337

Bursting Hodgkin-Huxley model-based ultra-low-power neuromimetic silicon neuron

Author keywords

Bursting; Chaotic; Sigmoid function; Silicon neuron; Ultra low power

Indexed keywords

BURSTING; CHAOTIC; SIGMOID FUNCTION; SILICON NEURON; ULTRA-LOW POWER;

EID: 84866743089     PISSN: 09251030     EISSN: 15731979     Source Type: Journal    
DOI: 10.1007/s10470-012-9888-6     Document Type: Conference Paper
Times cited : (19)

References (14)
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    • Folowsele, F.1    Harrison, A.2
  • 5
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    • Low-voltage analog current-mode central pattern generator circuit for robotic chewing locomotion using 130nanometer CMOS technology
    • Hasan, S. M. R., & Xu, W. L. (2007). Low-voltage analog current-mode central pattern generator circuit for robotic chewing locomotion using 130nanometer CMOS technology. In: Internatonal conference on microelectronics (pp. 155-160).
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    • Hasan, S.M.R.1    Xu, W.L.2
  • 6
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    • A quantitative description of membrane current and its application to conduction and excitation in nerve
    • Hodgkin, A., & Huxley, A. (1952). A quantitative description of membrane current and its application to conduction and excitation in nerve. The Journal of Physiology, 117, 550-554.
    • (1952) The Journal of Physiology , vol.117 , pp. 550-554
    • Hodgkin, A.1    Huxley, A.2
  • 7
    • 33244465845 scopus 로고
    • A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependernt plascity
    • Indiveri, G., Chicca, E., & Douglas, R. (1989). A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependernt plascity. IEEE Transactions on Neural Networks, 7(1), 211-221.
    • (1989) IEEE Transactions on Neural Networks , vol.7 , Issue.1 , pp. 211-221
    • Indiveri, G.1    Chicca, E.2    Douglas, R.3
  • 9
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    • A practical method for calculating largest lyapunov exponents from small data sets
    • 1221250 0779.58030 10.1016/0167-2789(93)90009-P
    • Rosenstein, M. T., Collins, J. J., & Luca, C. J. D. (1993). A practical method for calculating largest lyapunov exponents from small data sets. Physica D, 65, 117-134.
    • (1993) Physica D , vol.65 , pp. 117-134
    • Rosenstein, M.T.1    Collins, J.J.2    Luca, C.J.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.