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Volumn 69, Issue 10-12, 2006, Pages 1286-1290

A two-dimensional population density approach to modeling the dLGN/PGN network

Author keywords

Burst; dLGN; Optic tract stimulation; Population density

Indexed keywords

ARTIFICIAL INTELLIGENCE; POPULATION STATISTICS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS;

EID: 33646113596     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.12.093     Document Type: Article
Times cited : (4)

References (5)
  • 2
    • 0042736230 scopus 로고    scopus 로고
    • Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size
    • Haskell E., Nykamp D.Q., and Tranchina D. Population density methods for large-scale modelling of neuronal networks with realistic synaptic kinetics: cutting the dimension down to size. Network Comput. Neural Syst. 12 (2001) 141-174
    • (2001) Network Comput. Neural Syst. , vol.12 , pp. 141-174
    • Haskell, E.1    Nykamp, D.Q.2    Tranchina, D.3
  • 3
    • 24144487514 scopus 로고    scopus 로고
    • Feedback inhibition and throughput properties of an integrate-and-fire-or-burst network model of retinogeniculate transmission
    • Huertas M.A., Groff J.R., and Smith G.D. Feedback inhibition and throughput properties of an integrate-and-fire-or-burst network model of retinogeniculate transmission. J. Comput. Neurosci. 19 2 (2005) 147-180
    • (2005) J. Comput. Neurosci. , vol.19 , Issue.2 , pp. 147-180
    • Huertas, M.A.1    Groff, J.R.2    Smith, G.D.3
  • 4
    • 0034076273 scopus 로고    scopus 로고
    • A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning
    • Nykamp D.Q., and Tranchina D. A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning. J. Comput. Neurosci. 8 1 (2000) 19-50
    • (2000) J. Comput. Neurosci. , vol.8 , Issue.1 , pp. 19-50
    • Nykamp, D.Q.1    Tranchina, D.2
  • 5
    • 0033979924 scopus 로고    scopus 로고
    • Fourier analysis of sinusoidally-driven thalamocortical relay neurons and a minimal integrate-and-fire-or-burst model
    • Smith G.D., Cox C.L., Sherman S.M., and Rinzel J. Fourier analysis of sinusoidally-driven thalamocortical relay neurons and a minimal integrate-and-fire-or-burst model. J. Neurophysiol. 83 1 (2000) 588
    • (2000) J. Neurophysiol. , vol.83 , Issue.1 , pp. 588
    • Smith, G.D.1    Cox, C.L.2    Sherman, S.M.3    Rinzel, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.