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Volumn 21, Issue 2, 2006, Pages 119-129

Parallel network simulations with NEURON

Author keywords

Computer simulation; Parallel computation; Realistic modeling; Spiking networks

Indexed keywords

INTERPROCESSORS; LINEAR SPEED-UP; PARALLEL COMPUTATION; PARALLEL NETWORK SIMULATION; PRESYNAPTIC; REALISTIC MODEL; SIMULATION ENVIRONMENT; SPIKE GENERATION; SPIKING NETWORKS; SUBNETS;

EID: 33747409485     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-006-7949-5     Document Type: Article
Times cited : (152)

References (21)
  • 2
    • 0032822674 scopus 로고    scopus 로고
    • Increased pyramidal excitability and NMDA conductance can explain posttraumatic epileptogenesis without disinhibition a model
    • Bush PC, Prince DA, Miller KD (1999) Increased pyramidal excitability and NMDA conductance can explain posttraumatic epileptogenesis without disinhibition a model. J. Neurophysiol. 82:1748-1758.
    • (1999) J. Neurophysiol. , vol.82 , pp. 1748-1758
    • Bush, P.C.1    Prince, D.A.2    Miller, K.D.3
  • 3
    • 0024640163 scopus 로고
    • Linda in context
    • Communications of the ACM, April 1989
    • Carriero N, Gelernter D (1989) Linda in context. Communications of the ACM, April 1989.
    • (1989)
    • Carriero, N.1    Gelernter, D.2
  • 4
    • 0346365195 scopus 로고    scopus 로고
    • SpikeNET: An event-driven simulation package for modelling large networks of spiking neurons
    • Delorme A, Thorpe SJ (2003) SpikeNET: An event-driven simulation package for modelling large networks of spiking neurons. Network 14: 613-627.
    • (2003) Network , vol.14 , pp. 613-627
    • Delorme, A.1    Thorpe, S.J.2
  • 5
    • 0141676546 scopus 로고    scopus 로고
    • Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model
    • Davison AP, Feng J, Brown D (2003) Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model. J. Neurophysiol 90: 1921-1935.
    • (2003) J. Neurophysiol , vol.90 , pp. 1921-1935
    • Davison, A.P.1    Feng, J.2    Brown, D.3
  • 6
    • 84949976655 scopus 로고    scopus 로고
    • Large-scale simulation using parallel GENESIS
    • In: JM Bower, D Beeman eds. 2nd edn. Springer-Verlag
    • Goddard NH, Hood G (1998) Large-scale simulation using parallel GENESIS. In: JM Bower, D Beeman eds. The Book of GENESIS, 2nd edn. Springer-Verlag.
    • (1998) The Book of GENESIS
    • Goddard, N.H.1    Hood, G.2
  • 9
    • 0031571202 scopus 로고    scopus 로고
    • The NEURON simulation environment
    • Hines ML, Carnevale T (1997) The NEURON simulation environment. Neural Comp. 9: 178-1209.
    • (1997) Neural Comp. , vol.9 , pp. 178-1209
    • Hines, M.L.1    Carnevale, T.2
  • 10
    • 2542452927 scopus 로고    scopus 로고
    • Discrete event simulation in the NEURON environment
    • Hines ML, Carnevale NT (2004) Discrete event simulation in the NEURON environment. Neurocomputing 58-60: 1117-1122.
    • (2004) Neurocomputing , vol.58-60 , pp. 1117-1122
    • Hines, M.L.1    Carnevale, N.T.2
  • 11
    • 0242465742 scopus 로고    scopus 로고
    • User documentation for CVODES, an ODE solver with sensitivity analysis capabilities
    • Tech. rep., Lawrence Livermore National Laboratory
    • Hindmarsh A, Serban R (2002) User documentation for CVODES, an ODE solver with sensitivity analysis capabilities.Tech. rep., Lawrence Livermore National Laboratory. http://www.llnl.gov/CASC/sundials/.
    • (2002)
    • Hindmarsh, A.1    Serban, R.2
  • 13
  • 14
    • 17044361819 scopus 로고    scopus 로고
    • Independent variable time-step integration of individual neurons for network simulations
    • Lytton WW, Hines ML (2005) Independent variable time-step integration of individual neurons for network simulations. Neural Comput. 17: 903-921.
    • (2005) Neural Comput. , vol.17 , pp. 903-921
    • Lytton, W.W.1    Hines, M.L.2
  • 15
    • 31444442519 scopus 로고    scopus 로고
    • The Blue Brain project
    • Markram H (2006) The Blue Brain project, Nature Rev. Neurosci 7: 153-160.
    • (2006) Nature Rev. Neurosci , vol.7 , pp. 153-160
    • Markram, H.1
  • 16
    • 0034296490 scopus 로고    scopus 로고
    • Efficient event-driven simulation of large networks of spiking neurons and dynamical synapses
    • Mattia M, Del Giudice P (2000) Efficient event-driven simulation of large networks of spiking neurons and dynamical synapses. Neural Computation 12: 2305-2329.
    • (2000) Neural Computation , vol.12 , pp. 2305-2329
    • Mattia, M.1    Del Giudice, P.2
  • 17
    • 0032840150 scopus 로고    scopus 로고
    • Role of an A-type K + conductance in the back-propagation of action potentials in the dendrites of hippocampal pyramidal neurons
    • Migliore M, Hoffman DA, Magee JC, Johnston D (1999) Role of an A-type K + conductance in the back-propagation of action potentials in the dendrites of hippocampal pyramidal neurons. J. Comput. Neurosci 7: 5-16.
    • (1999) J. Comput. Neurosci , vol.7 , pp. 5-16
    • Migliore, M.1    Hoffman, D.A.2    Magee, J.C.3    Johnston, D.4
  • 18
    • 20844460509 scopus 로고    scopus 로고
    • Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing
    • Morrison A, Mehring C, Geisel T, Aertsen A, Diesmann A (2005) Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing, Neural Comp. 17: 1776-1801.
    • (2005) Neural Comp. , vol.17 , pp. 1776-1801
    • Morrison, A.1    Mehring, C.2    Geisel, T.3    Aertsen, A.4    Diesmann, A.5
  • 19
    • 33747385868 scopus 로고    scopus 로고
    • Myers R (2000) http://www.mtsu.edu/~csjudy/STL/HashMap.h
    • (2000)
    • Myers, R.1
  • 20
    • 16644368127 scopus 로고    scopus 로고
    • Role of mossy fiber sprouting and mossy cell loss in hyperexcitability: A network model of the dentate gyrus incorporating cell types and axonal topography
    • Santhakumar V, Aradi I, Soltesz I (2005) Role of mossy fiber sprouting and mossy cell loss in hyperexcitability: A network model of the dentate gyrus incorporating cell types and axonal topography. J. Neurophysiol 93: 437-453.
    • (2005) J. Neurophysiol , vol.93 , pp. 437-453
    • Santhakumar, V.1    Aradi, I.2    Soltesz, I.3
  • 21
    • 33746312195 scopus 로고    scopus 로고
    • Implementation of a Biologically Realistic Parallel Neocortical-Neural Network Simulator
    • for Sci. Comp. March 12-14, 2001 Portsmouth, Virginia
    • Wilson EC, Goodman PH, Harris FC (2001) Implementation of a Biologically Realistic Parallel Neocortical-Neural Network Simulator. Proceedings of the Tenth SIAM Conf. on Parallel Process. for Sci. Comp. March 12-14, 2001 Portsmouth, Virginia.
    • (2001) Proceedings of the Tenth SIAM Conf. on Parallel Process
    • Wilson, E.C.1    Goodman, P.H.2    Harris, F.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.