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Volumn 14, Issue 3, 2012, Pages 40-47

Three applications of GPU computing in neuroscience

Author keywords

Computational neuroscience; GPUs; parallel and vector implementations; scientific computing

Indexed keywords

COMPUTATIONAL NEUROSCIENCE; GPU COMPUTING; GPUS; PARALLEL AND VECTOR IMPLEMENTATIONS;

EID: 84860439091     PISSN: 15219615     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCSE.2011.119     Document Type: Article
Times cited : (22)

References (11)
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    • Efficient simulation of large-scale spiking neural networks using cuda graphics processors
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    • Nageswaran, J.M.1
  • 7
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    • A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue
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  • 8
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  • 9
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    • Rate models for conductance-based cortical neuronal networks
    • O. Shriki, D. Hansel, and H. Sompolinsky, "Rate Models for Conductance-Based Cortical Neuronal Networks," Neural Computation, vol. 15, no. 8, 2003, pp. 1809-1841.
    • (2003) Neural Computation , vol.15 , Issue.8 , pp. 1809-1841
    • Shriki, O.1    Hansel, D.2    Sompolinsky, H.3
  • 10
    • 75749152336 scopus 로고    scopus 로고
    • Decorrelated neuronal firing in cortical microcircuits
    • A. Ecker et al., "Decorrelated Neuronal Firing in Cortical Microcircuits," Science, vol. 327, no. 5965, 2010, pp. 584-587.
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    • Ecker, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.