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Volumn 38-40, Issue , 2001, Pages 627-632

A population density method for large-scale modeling of neuronal networks with realistic synaptic kinetics

Author keywords

Computer simulation; Network modeling; Populations; Probability density function

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; MONTE CARLO METHODS; POPULATION STATISTICS; STATE SPACE METHODS;

EID: 17444451706     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00407-6     Document Type: Article
Times cited : (8)

References (9)
  • 1
    • 0033210816 scopus 로고    scopus 로고
    • Fast global oscillations in networks of integrate-and-fire neurons with low firing rates
    • N. Brunel, V. Hakim, Fast global oscillations in networks of integrate-and-fire neurons with low firing rates, Neural Comput. 11 (2000) 1621-1671.
    • (2000) Neural Comput , vol.11 , pp. 1621-1671
    • Brunel, N.1    Hakim, V.2
  • 2
    • 2142843606 scopus 로고    scopus 로고
    • Population density methods for neural networks with realistic synaptic kinetics: Cutting the dimension down to size
    • Network: Computation in Neural Systems, to appear
    • E. Haskell, D.Q. Nykamp, D. Tranchina, Population density methods for neural networks with realistic synaptic kinetics: cutting the dimension down to size, Network: Computation in Neural Systems, to appear.
    • Haskell, E.1    Nykamp, D.Q.2    Tranchina, D.3
  • 3
    • 0034153464 scopus 로고    scopus 로고
    • Dynamics of encoding in neuron populations: Some general mathematical features
    • B.W. Knight, Dynamics of encoding in neuron populations: some general mathematical features, Neural Comput. 12 (2000) 473-518.
    • (2000) Neural Comput , vol.12 , pp. 473-518
    • Knight, B.W.1
  • 5
    • 0034180383 scopus 로고    scopus 로고
    • The approach of a neuron population firing rate to a new equilibrium: An exact theoretical result
    • B.W. Knight, A. Omurtag, L. Sirovich, The approach of a neuron population firing rate to a new equilibrium: an exact theoretical result, Neural Comput. 12 (2000) 1045-1055.
    • (2000) Neural Comput , vol.12 , pp. 1045-1055
    • Knight, B.W.1    Omurtag, A.2    Sirovich, L.3
  • 6
    • 0034076273 scopus 로고    scopus 로고
    • A population density approach that facilitates large-scale modeling of neural networks: Analysis and an application to orientation tuning
    • D.Q. Nykamp, D. Tranchina, A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning, J. Comput. Neurosci. 8 (2000) 19-50.
    • (2000) J. Comput. Neurosci , vol.8 , pp. 19-50
    • Nykamp, D.Q.1    Tranchina, D.2
  • 7
    • 0035289566 scopus 로고    scopus 로고
    • A population density approach that facilitates large-scale modeling of neural networks: Extension to slow inhibitory synapses
    • D.Q. Nykamp, D. Tranchina, A population density approach that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapses. Neural Comput. 13 (2001) 511-546.
    • (2001) Neural Comput , vol.13 , pp. 511-546
    • Nykamp, D.Q.1    Tranchina, D.2
  • 9
    • 0034479938 scopus 로고    scopus 로고
    • Dynamics of neuronal populations: The equilibrium solution
    • L. Sirovich, A. Omurtag, B. Knight, Dynamics of neuronal populations: the equilibrium solution, SIAM J. Appl. Math. 60 (2001) 2009-2028.
    • (2001) SIAM J. Appl. Math , vol.60 , pp. 2009-2028
    • Sirovich, L.1    Omurtag, A.2    Knight, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.