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Volumn , Issue , 2012, Pages 522-528

FPGA implementation of hodgkin-huxley neuron model

Author keywords

FPGA; Hodgkin Huxley; MATLAB; VHDL

Indexed keywords

COMPUTATION TECHNIQUES; HARDWARE IMPLEMENTATIONS; HODGKIN-HUXLEY; HODGKIN-HUXLEY NEURON; HODGKIN-HUXLEY NEURON MODEL; RECONFIGURABLE PLAT-FORMS; SOFTWARE IMPLEMENTATION; VHDL;

EID: 84886916207     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 3
    • 63049093583 scopus 로고    scopus 로고
    • Comparison between analog and digital neural network implementations for range-finding applications
    • Gatet, L., Tap-Béteille, H., Bony, F., 2009. Comparison between analog and digital neural network implementations for range-finding applications. Neural Networks, IEEE Transactions on 20, 460-470.
    • (2009) Neural Networks, IEEE Transactions on , vol.20 , pp. 460-470
    • Gatet, L.1    Tap-Béteille, H.2    Bony, F.3
  • 4
    • 20344362939 scopus 로고    scopus 로고
    • An FPGAbased approach to high-speed simulation of conductance-based neuron models
    • Graas, E. L., Brown, E. A., Lee, R. H., 2004. An FPGAbased approach to high-speed simulation of conductance-based neuron models. Neuroinformatics 2, 417-435.
    • (2004) Neuroinformatics , vol.2 , pp. 417-435
    • Graas, E.L.1    Brown, E.A.2    Lee, R.H.3
  • 5
    • 35649001607 scopus 로고
    • A quantitative description of membrane current and its application to conduction and excitation in nerve
    • Hodgkin, A. L., Huxley, A. F., 1952. A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol. (Lond.) 117, 500-544.
    • (1952) J. Physiol. (Lond.) , vol.117 , pp. 500-544
    • Hodgkin, A.L.1    Huxley, A.F.2
  • 8
    • 77957685289 scopus 로고    scopus 로고
    • A fpga real-time model of single and multiple visual cortex neurons
    • Li, G., Talebi, V., Yoonessi, A., Baker, C. L., Jr, 2010. A FPGA real-time model of single and multiple visual cortex neurons. J. Neurosci. Methods 193, 62-66.
    • (2010) J. Neurosci. Methods , vol.193 , pp. 62-66
    • Li, G.1    Talebi, V.2    Yoonessi, A.3    Baker Jr., C.L.4
  • 12
    • 77950471752 scopus 로고    scopus 로고
    • Fpga implementation of izhikevich spiking neural networks for character recognition, in: Reconfigurable computing and fpgas, 2009
    • Rice, K. L., Bhuiyan, M. A., Taha, T. M., Vutsinas, C. N., Smith, M.C., 2009. FPGA implementation of Izhikevich spiking neural networks for character recognition, in: Reconfigurable Computing and FPGAs, 2009. ReConFig'09. International Conference On. pp. 451-456.
    • (2009) ReConFig'09. International Conference on , pp. 451-456
    • Rice, K.L.1    Bhuiyan, M.A.2    Taha, T.M.3    Vutsinas, C.N.4    Smith, M.C.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.