메뉴 건너뛰기




Volumn 22, Issue 6, 2010, Pages 1468-1472

Fast and exact simulation methods applied on a broad range of neuron models

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN; COMPUTER SIMULATION; MATHEMATICAL PHENOMENA; NERVE CELL; NERVE CELL NETWORK; PHYSIOLOGY; STATISTICAL MODEL; SYNAPTIC TRANSMISSION; TIME;

EID: 77953494546     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2010.07-09-1070     Document Type: Article
Times cited : (7)

References (12)
  • 1
    • 0029868972 scopus 로고    scopus 로고
    • Relation between rise times and amplitude of GABAergic postsynaptic currents
    • Bier, M., Kits, K., & Borst, G. (1996). Relation between rise times and amplitude of GABAergic postsynaptic currents. Journal of Neurophysiology, 75, 1008-1012.
    • (1996) Journal of Neurophysiology , vol.75 , pp. 1008-1012
    • Bier, M.1    Kits, K.2    Borst, G.3
  • 2
    • 35248841297 scopus 로고    scopus 로고
    • Exact simulation of integrate-and-fire models with exponential currents
    • Brette, R. (2007). Exact simulation of integrate-and-fire models with exponential currents. Neural Computation, 19, 2604-2609.
    • (2007) Neural Computation , vol.19 , pp. 2604-2609
    • Brette, R.1
  • 3
    • 27144498986 scopus 로고    scopus 로고
    • Adaptive exponential integrate-and-fire model as an effective description of neuronal activity
    • Brette, R., & Gerstner, W. (2005). Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. Journal of Neurophysiology, 94, 3637-3642.
    • (2005) Journal of Neurophysiology , vol.94 , pp. 3637-3642
    • Brette, R.1    Gerstner, W.2
  • 5
    • 0141499222 scopus 로고    scopus 로고
    • The high-conductance state of neocortical neurons in vivo
    • Destexhe, A., Rudolph, M., & Paré, D. (2003). The high-conductance state of neocortical neurons in vivo. Neuroscience, 4, 739-751.
    • (2003) Neuroscience , vol.4 , pp. 739-751
    • Destexhe, A.1    Rudolph, M.2    Paré, D.3
  • 6
    • 65549102992 scopus 로고    scopus 로고
    • Accelerating event-driven simulation of spiking neurons with multiple synaptic time constants
    • D'Haene, M., Schrauwen, B., Van Campenhout, J., & Stroobandt, D. (2009). Accelerating event-driven simulation of spiking neurons with multiple synaptic time constants. Neural Computation, 21(4), 1068-1099.
    • (2009) Neural Computation , vol.21 , Issue.4 , pp. 1068-1099
    • D'Haene, M.1    Schrauwen, B.2    Van Campenhout, J.3    Stroobandt, D.4
  • 7
    • 1842376871 scopus 로고    scopus 로고
    • Estimating the time course of the excitatory synaptic conductance in neocortical pyramidal cells using a novel voltage jump method
    • Häusser, M., & Roth, A. (1997). Estimating the time course of the excitatory synaptic conductance in neocortical pyramidal cells using a novel voltage jump method. Journal of Neuroscience, 17, 7606-7625.
    • (1997) Journal of Neuroscience , vol.17 , pp. 7606-7625
    • Häusser, M.1    Roth, A.2
  • 8
    • 2542452927 scopus 로고    scopus 로고
    • Discrete event simulation in the NEURON environment
    • Hines, M., & Carnevale, N. (2004). Discrete event simulation in the NEURON environment. Neurocomputing, 58, 1117-1122.
    • (2004) Neurocomputing , vol.58 , pp. 1117-1122
    • Hines, M.1    Carnevale, N.2
  • 9
    • 4344661328 scopus 로고    scopus 로고
    • Which model to use for cortical spiking neurons?
    • Izhikevich, E. (2004). Which model to use for cortical spiking neurons? IEEE Transactions on Neural Networks, 15, 1063-1070.
    • (2004) IEEE Transactions on Neural Networks , vol.15 , pp. 1063-1070
    • Izhikevich, E.1
  • 10
    • 63249097213 scopus 로고    scopus 로고
    • A generalized linear integrate-and-fire neuralmodel produces diverse spiking behaviors
    • Mihalaş, Ş.,&Niebur, E. (2009). A generalized linear integrate-and-fire neuralmodel produces diverse spiking behaviors. Neural Computation, 21, 704-718.
    • (2009) Neural Computation , vol.21 , pp. 704-718
    • Mihalaş, Ş.1    Niebur, E.2
  • 11
    • 33748464002 scopus 로고    scopus 로고
    • Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies
    • Rudolph, M., & Destexhe, A. (2006). Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural Computation, 18, 2146-2210.
    • (2006) Neural Computation , vol.18 , pp. 2146-2210
    • Rudolph, M.1    Destexhe, A.2
  • 12
    • 68349146851 scopus 로고    scopus 로고
    • Generalization of the event-based Carnevale-Hines integration scheme for integrate-and-fire models
    • van Elburg, R. A. J., & van Ooyen, A. (2009). Generalization of the event-based Carnevale-Hines integration scheme for integrate-and-fire models. Neural Computation, 21, 1913-1930.
    • (2009) Neural Computation , vol.21 , pp. 1913-1930
    • van Elburg, R.A.J.1    van Ooyen, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.