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Volumn , Issue , 2011, Pages 3184-3193

Simulation of large neuronal networks with biophysically accurate models on graphics processors

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN FUNCTIONS; COMPUTATIONAL CHALLENGES; COMPUTATIONAL COSTS; EFFICIENT SIMULATION; GRAPHICS PROCESSOR; HODGKIN-HUXLEY NEURON; LOOK UP TABLE; MAMMALIAN BRAIN; MODEL BASED NEURAL NETWORKS; MODEL EVALUATION; MULTI-LEVEL; NETWORK DYNAMICS; NEURAL NETWORK SIMULATORS; NEURONAL DYNAMICS; NEURONAL NETWORKS; NUMERICAL INTEGRATION TECHNIQUES; PARALLEL IMPLEMENTATIONS; SPIKING MODEL; SYNAPTIC CONNECTIONS; THREAD DIVERGENCES;

EID: 80054728077     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2011.6033643     Document Type: Conference Paper
Times cited : (27)

References (14)
  • 5
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  • 6
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    • Mechanisms underlying the synchronizing action of corticothalamic feedback through inhibition of thalamic relay cells
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    • (1998) Journal of Neurophysiology , vol.79 , pp. 999-1016
    • Destexhe, A.1    Contreras, D.2    Steriade, M.3
  • 8
    • 70350731283 scopus 로고    scopus 로고
    • Parallelizable stable circuit numerical integration for efficient circuit simulation
    • W. Dong and P. Li. Parallelizable stable circuit numerical integration for efficient circuit simulation. In Proc. of IEEE/ACM Design Automation Conference, pages 382-385, 2009.
    • (2009) Proc. of IEEE/ACM Design Automation Conference , pp. 382-385
    • Dong, W.1    Li, P.2
  • 9
    • 0037408148 scopus 로고    scopus 로고
    • Telescopic projective methods for parabolic differential equations
    • C. Gear and I. Kevrekidis. Telescopic projective methods for parabolic differential equations. Journal of Computational Physics, 187(1):95-109, 2003.
    • (2003) Journal of Computational Physics , vol.187 , Issue.1 , pp. 95-109
    • Gear, C.1    Kevrekidis, I.2
  • 10
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    • A quantitative description of membrane current and its application to conduction and excitation in nerve
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    • (1952) Journal of Physiology , vol.117 , pp. 500-544
    • Hodgkin, A.1    Huxley, A.2
  • 13
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    • Nvidia Corporation. Nvidia GPU programming guide. http://developer. download.nvidia.com/GPUProgrammingGuide/GPUProgrammingGuideG80.pdf.
    • Nvidia GPU Programming Guide
  • 14
    • 4344661328 scopus 로고    scopus 로고
    • Which model to use for cortical spiking neurons
    • September
    • E. M. Odabasioglu. Which model to use for cortical spiking neurons. IEEE Transaction on Neural Networks, 15(5):1063-1070, September 2004.
    • (2004) IEEE Transaction on Neural Networks , vol.15 , Issue.5 , pp. 1063-1070
    • Odabasioglu, E.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.