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Volumn 38-40, Issue , 2001, Pages 403-408

Modeling dendritic morphological complexity of deep layer cat superior colliculus neurons

Author keywords

Cat superior colliculus neurons; Dendritic development; Dendritic trees; Morphology; Stochastic growth model

Indexed keywords

CELLS; MATHEMATICAL MODELS; MORPHOLOGY; STOCHASTIC PROGRAMMING;

EID: 0035384144     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00347-2     Document Type: Article
Times cited : (11)

References (10)
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  • 2
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    • Segmental cable modelling of electrotonic transfer properties of deep superior colliculus neurons in the cat
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    • (1986) J. Hirnforsch , vol.27 , pp. 679-690
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  • 3
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    • Dendritic anatomy and electrotonic transfer properties of cat superior colliculus neurons
    • A. Schierwagen, Dendritic anatomy and electrotonic transfer properties of cat superior colliculus neurons, Acta Biol. Hung. 39 (1988) 221-227.
    • (1988) Acta Biol. Hung , vol.39 , pp. 221-227
    • Schierwagen, A.1
  • 4
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    • Dendritic morphology and signal delay in superior colliculus neurons
    • this issue
    • A. Schierwagen, C. Claus, Dendritic morphology and signal delay in superior colliculus neurons, Neurocomput. 38-40 (2001) 343-350, this issue.
    • (2001) Neurocomput , vol.38-40 , pp. 343-350
    • Schierwagen, A.1    Claus, C.2
  • 5
    • 0022884948 scopus 로고
    • Quantitative morphological analysis of deep superior colliculus neurons stained intracellularly with HRP in the cat
    • A. Schierwagen, R. Grantyn, Quantitative morphological analysis of deep superior colliculus neurons stained intracellularly with HRP in the cat, J. Hirnforsch. 27 (1986) 611-623.
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  • 6
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    • Geometrical and topological characteristics in the dendritic development of cortical pyramidal and non-pyramidal neurons
    • J. van Pelt, M.A. Corner, H.B.M. Uylings, F.H. Lopes da Silva (Eds.), Elsevier, Amsterdam
    • H.B.M. Uylings, J. van Pelt, J.G. Parnavelas, A. Ruiz-Marcos, Geometrical and topological characteristics in the dendritic development of cortical pyramidal and non-pyramidal neurons, in: J. van Pelt, M.A. Corner, H.B.M. Uylings, F.H. Lopes da Silva (Eds.), Progress in Brain Research, The Self-Organizing Brain: From Growth Cones to Functional Networks, Vol. 102, Elsevier, Amsterdam, 1994, pp. 109-123.
    • (1994) Progress in Brain Research, The Self-Organizing Brain: From Growth Cones to Functional Networks , vol.102 , pp. 109-123
    • Uylings, H.B.M.1    van Pelt, J.2    Parnavelas, J.G.3    Ruiz-Marcos, A.4
  • 7
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    • Natural variability in the number of dendritic segments: Model-based inferences about branching during neurite outgrowth
    • J. van Pelt, A.E. Dityatev, H.B.M. Uylings, Natural variability in the number of dendritic segments: model-based inferences about branching during neurite outgrowth, J. Comp. Neurol. 387 (1997) 325-340.
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  • 8
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    • Natural variability in the geometry of dendritic branching patterns
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    • J. van Pelt, H.B.M. Uylings, Natural variability in the geometry of dendritic branching patterns, in: R.R. Poznanski (Ed.), Modeling in the Neurosciences: From Ionic Channels to Neural Networks, Harwood Academic Publishers, Amsterdam, 1999, pp. 79-108.
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    • Modeling the natural variability in the shape of dendritic trees: Application to basal dendrites of small rat cortical layer 5 pyramidal neurons
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.