메뉴 건너뛰기




Volumn 15, Issue 2, 2005, Pages 166-183

Statistical determinants of dendritic morphology in hippocampal pyramidal neurons: A hidden Markov model

Author keywords

CA1; CA3; Interstitial; Morphometry; Oblique; Simulations

Indexed keywords

ALGORITHM; ANIMAL CELL; ARTICLE; CELL POPULATION; CELL STRUCTURE; CELLULAR DISTRIBUTION; CONTROLLED STUDY; DENDRITE; GEOMETRY; HIPPOCAMPUS; NONHUMAN; PRIORITY JOURNAL; PROBABILITY; PYRAMIDAL NERVE CELL; QUALITATIVE ANALYSIS; RAT; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STOCHASTIC MODEL;

EID: 16344392542     PISSN: 10509631     EISSN: None     Source Type: Journal    
DOI: 10.1002/hipo.20041     Document Type: Article
Times cited : (44)

References (50)
  • 1
    • 0033572828 scopus 로고    scopus 로고
    • Progress and perspectives in computational neuroanatomy
    • Ascoli GA. 1999. Progress and perspectives in computational neuroanatomy. Anat Rec 257:195-207.
    • (1999) Anat. Rec. , vol.257 , pp. 195-207
    • Ascoli, G.A.1
  • 2
    • 0041470138 scopus 로고    scopus 로고
    • Neuroanatomical algorithms for dendritic modelling
    • Ascoli GA. 2002. Neuroanatomical algorithms for dendritic modelling. Network 13:247-260.
    • (2002) Network , vol.13 , pp. 247-260
    • Ascoli, G.A.1
  • 3
    • 0033913163 scopus 로고    scopus 로고
    • L-Neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology
    • Ascoli GA, Krichmar JL. 2000. L-Neuron: a modeling tool for the efficient generation and parsimonious description of dendritic morphology. Neurocomputing 32/33:1003-1011.
    • (2000) Neurocomputing , vol.32-33 , pp. 1003-1011
    • Ascoli, G.A.1    Krichmar, J.L.2
  • 6
    • 0000353178 scopus 로고
    • Statistical inference for probabilistic functions of finite state Markov chains
    • Baum LE, Petrie T. 1970. Statistical inference for probabilistic functions of finite state Markov chains. Ann Math Stat 41:164.
    • (1970) Ann. Math. Stat. , vol.41 , pp. 164
    • Baum, L.E.1    Petrie, T.2
  • 7
    • 0015592928 scopus 로고
    • Branching patterns of individual sympathetic neurons in culture
    • Bray D. 1973. Branching patterns of individual sympathetic neurons in culture. J Cell Biol 56:702-712.
    • (1973) J. Cell Biol. , vol.56 , pp. 702-712
    • Bray, D.1
  • 8
    • 0012262414 scopus 로고    scopus 로고
    • Some approaches to quantitative dendritic morphology
    • Ascoli GA, editor. Totowa, NJ: Humana
    • Burke RE, Marks WB. 2002. Some approaches to quantitative dendritic morphology. In: Ascoli GA, editor. Computational neuroanatomy: principles and methods. Totowa, NJ: Humana. p 27-48.
    • (2002) Computational Neuroanatomy: Principles and Methods , pp. 27-48
    • Burke, R.E.1    Marks, W.B.2
  • 9
    • 0026703682 scopus 로고
    • A parsimonious description of motor neurons dendritic morphology using computer simulation
    • Burke RE, Marks WB, Ulfhake B. 1992. A parsimonious description of motor neurons dendritic morphology using computer simulation. J Neurosci 12:2403-2416.
    • (1992) J. Neurosci. , vol.12 , pp. 2403-2416
    • Burke, R.E.1    Marks, W.B.2    Ulfhake, B.3
  • 11
    • 0003444070 scopus 로고
    • Computer techniques in neuroanatomy
    • New York: Plenum
    • Capowski JJ. 1989. Computer techniques in neuroanatomy. New York: Plenum.
    • (1989)
    • Capowski, J.J.1
  • 12
    • 0033134489 scopus 로고    scopus 로고
    • Large-scale optimization of neuronal arbors
    • Cherniak C, Changizi M, Kang DW. 1999. Large-scale optimization of neuronal arbors. Phys Rev E 59:6001-6009.
    • (1999) Phys. Rev. E , vol.59 , pp. 6001-6009
    • Cherniak, C.1    Changizi, M.2    Kang, D.W.3
  • 13
    • 0029998871 scopus 로고    scopus 로고
    • The dynamics of dendritic structure in developing hippocampal slices
    • Dailey ME, Smith SJ. 1996. The dynamics of dendritic structure in developing hippocampal slices. J Neurosci 16:2983-2994.
    • (1996) J. Neurosci. , vol.16 , pp. 2983-2994
    • Dailey, M.E.1    Smith, S.J.2
  • 14
    • 0003391450 scopus 로고
    • Non-uniform random variate generation
    • Berlin: Springer-Verlag
    • Devote L. 1986. Non-uniform random variate generation. Berlin: Springer-Verlag. p 401-402.
    • (1986) , pp. 401-402
    • Devote, L.1
  • 15
    • 0043009701 scopus 로고    scopus 로고
    • Generation and description of neuronal morphology using L-Neuron: A case study
    • Ascoli GA, editor. Totowa, NJ: Humana
    • Donohue DE, Scorcioni R, Ascoli GA. 2002. Generation and description of neuronal morphology using L-Neuron: a case study. In: Ascoli GA, editor. Computational neuroanatomy: principles and methods. Totowa, NJ: Humana. p 49-69.
    • (2002) Computational Neuroanatomy: Principles and Methods , pp. 49-69
    • Donohue, D.E.1    Scorcioni, R.2    Ascoli, G.A.3
  • 16
    • 33645592821 scopus 로고    scopus 로고
    • Models of neuronal outgrowth
    • Koslow SH and Subramaniam S, editors. Hoboken, NJ: Wiley (in press)
    • Donohue DE, Ascoli GA. 2004. Models of neuronal outgrowth. In: Koslow SH and Subramaniam S, editors. Databasing the brain: from data to knowledge. Hoboken, NJ: Wiley (in press).
    • (2004) Databasing the Brain: From Data to Knowledge
    • Donohue, D.E.1    Ascoli, G.A.2
  • 18
    • 0001938773 scopus 로고    scopus 로고
    • Dendrite structure
    • Stuart G, Spruston N, Häusser M, editors. New York: Oxford University Press
    • Fiala JC, Harris KM. 2001. Dendrite structure. In: Stuart G, Spruston N, Häusser M, editors. Dendrites. New York: Oxford University Press. p 1-34.
    • (2001) Dendrites , pp. 1-34
    • Fiala, J.C.1    Harris, K.M.2
  • 19
    • 0020625904 scopus 로고
    • The image-combining computer microscope - An interactive instrument for morphometry of the nervous system
    • Glaser EM, Tagamets M, McMullen NT, Van der Loos H. 1983. The image-combining computer microscope - an interactive instrument for morphometry of the nervous system. J Neurosci Methods 8:17-32.
    • (1983) J. Neurosci. Methods , vol.8 , pp. 17-32
    • Glaser, E.M.1    Tagamets, M.2    McMullen, N.T.3    Van der Loos, H.4
  • 20
    • 0003659609 scopus 로고    scopus 로고
    • Neuronal growth cones
    • New York: Cambridge University Press
    • Gordon-Weeks PR. 2000. Neuronal growth cones. New York: Cambridge University Press.
    • (2000)
    • Gordon-Weeks, P.R.1
  • 21
    • 0035821871 scopus 로고    scopus 로고
    • A computational model of dendrite elongation and branching based on MAP2 phosphorylation
    • Hely TA, Graham B, VanOoyen A. 2001, A computational model of dendrite elongation and branching based on MAP2 phosphorylation. J Theor Biol 210:375-384.
    • (2001) J. Theor. Biol. , vol.210 , pp. 375-384
    • Hely, T.A.1    Graham, B.2    VanOoyen, A.3
  • 22
    • 0029942833 scopus 로고    scopus 로고
    • Dendritic morphology and its effects on the amplitude and rise-time of synaptic signals in hippocampal CA3 pyramidal cells
    • Henze DA, Cameron WE, Barrionuevo G. 1996. Dendritic morphology and its effects on the amplitude and rise-time of synaptic signals in hippocampal CA3 pyramidal cells. J Comp Neurol 369:331-344.
    • (1996) J. Comp. Neurol. , vol.369 , pp. 331-344
    • Henze, D.A.1    Cameron, W.E.2    Barrionuevo, G.3
  • 23
    • 0002707772 scopus 로고
    • Neuronal shape parameters and substructures as a basis of neuronal form
    • Schmitt FO, Worden FG, editors. Cambridge, MA: MIT Press
    • Hillman DE. 1979. Neuronal shape parameters and substructures as a basis of neuronal form. In: Schmitt FO, Worden FG, editors. The neurosciences: fourth study program. Cambridge, MA: MIT Press. p 477-498.
    • (1979) The Neurosciences: Fourth Study Program , pp. 477-498
    • Hillman, D.E.1
  • 24
    • 0028845656 scopus 로고
    • A quantitative analysis of the dendritic organization of pyramidal cells in the rat hippocampus
    • Ishizuka N, Cowan WM, Amaral DG, 1995. A quantitative analysis of the dendritic organization of pyramidal cells in the rat hippocampus. J Comp Neurol 362:17-45.
    • (1995) J. Comp. Neurol. , vol.362 , pp. 17-45
    • Ishizuka, N.1    Cowan, W.M.2    Amaral, D.G.3
  • 26
    • 0037047497 scopus 로고    scopus 로고
    • Morphometric analysis of dendritic altering in an identified motoneuron during postembryonic development
    • Libersat F, Duch C. 2002. Morphometric analysis of dendritic altering in an identified motoneuron during postembryonic development. J Comp Neurol 450:153-166.
    • (2002) J. Comp. Neurol. , vol.450 , pp. 153-166
    • Libersat, F.1    Duch, C.2
  • 27
    • 0028018010 scopus 로고
    • Detailed passive cable models of whole-cell recorded CA3 pyramidal neurons in rat hippocampal slices
    • Major G, Larkman AU, Jonas P, Sakmann B, Jack JJ. 1994. Detailed passive cable models of whole-cell recorded CA3 pyramidal neurons in rat hippocampal slices. J Neurosci 14:4613-4638.
    • (1994) J. Neurosci. , vol.14 , pp. 4613-4638
    • Major, G.1    Larkman, A.U.2    Jonas, P.3    Sakmann, B.4    Jack, J.J.5
  • 28
    • 0344891583 scopus 로고
    • An example of statistical investigation in the text of "Eugene Onegin" illustrating coupling of "tests" in chains
    • Markov AA. 1913. An example of statistical investigation in the text of "Eugene Onegin" illustrating coupling of "tests" in chains. Proc Acad Sci St Petersburg 7:153.
    • (1913) Proc. Acad. Sci. St. Petersburg. , vol.7 , pp. 153
    • Markov, A.A.1
  • 29
    • 0003823976 scopus 로고
    • Lessons in estimation theory for signal processing, communications, and control
    • Indianapolis, IN: Pearson Education/Prentice-Hall
    • Mendel JM. 1995. Lessons in estimation theory for signal processing, communications, and control. Indianapolis, IN: Pearson Education/Prentice-Hall.
    • (1995)
    • Mendel, J.M.1
  • 31
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner LR. 1989. A tutorial on hidden Markov models and selected applications in speech recognition. Proc IEEE 77:257-286.
    • (1989) Proc. IEEE , vol.77 , pp. 257-286
    • Rabiner, L.R.1
  • 32
    • 0003584577 scopus 로고
    • Artificial intelligence: A modern approach
    • Upper Saddle River, NJ: Prentice-Hall
    • Russell SJ, Norvig P. 1995. Artificial intelligence: a modern approach. Upper Saddle River, NJ: Prentice-Hall.
    • (1995)
    • Russell, S.J.1    Norvig, P.2
  • 33
    • 0037438059 scopus 로고    scopus 로고
    • Statistical morphological analysis of hippocampal principal neurons indicates cell-specific repulsion of dendrites from their own cell
    • Samsonovich AV, Ascoli GA. 2003. Statistical morphological analysis of hippocampal principal neurons indicates cell-specific repulsion of dendrites from their own cell. J Neurosci Res 71:173-187.
    • (2003) J. Neurosci. Res. , vol.71 , pp. 173-187
    • Samsonovich, A.V.1    Ascoli, G.A.2
  • 34
    • 16344381257 scopus 로고    scopus 로고
    • Algorithmic description of hippocampal granule cell dendritic morphology
    • (in press)
    • Samsonovich AV, Ascoli GA. 2005. Algorithmic description of hippocampal granule cell dendritic morphology. Neurocomputing (in press).
    • (2005) Neurocomputing
    • Samsonovich, A.V.1    Ascoli, G.A.2
  • 35
    • 0037567639 scopus 로고    scopus 로고
    • Coincidence detection in pyramidal neurons is tuned by their dendritic branching pattern
    • Schaefer AT, Larkum ME, Sakmann B, Roth A. 2003. Coincidence detection in pyramidal neurons is tuned by their dendritic branching pattern. J Neurophysiol 89:3143-3154.
    • (2003) J. Neurophysiol. , vol.89 , pp. 3143-3154
    • Schaefer, A.T.1    Larkum, M.E.2    Sakmann, B.3    Roth, A.4
  • 36
    • 0003656693 scopus 로고    scopus 로고
    • Algorithmic extraction of morphological statistics from electronic archives of neuroanatomy
    • Scorcioni R, Ascoli GA. 2001. Algorithmic extraction of morphological statistics from electronic archives of neuroanatomy. Lect Notes Comp Sci 2084:30-37.
    • (2001) Lect. Notes Comp. Sci. , vol.2084 , pp. 30-37
    • Scorcioni, R.1    Ascoli, G.A.2
  • 37
    • 2342528455 scopus 로고    scopus 로고
    • Quantitative morphometry of hippocampal pyramidal cells: Differences between anatomical classes and reconstructing laboratories
    • Scorcioni R, Lazarewicz MT, Ascoli GA. 2004. Quantitative morphometry of hippocampal pyramidal cells: differences between anatomical classes and reconstructing laboratories. J Comp Neurol 473:177-193.
    • (2004) J. Comp. Neurol. , vol.473 , pp. 177-193
    • Scorcioni, R.1    Lazarewicz, M.T.2    Ascoli, G.A.3
  • 38
    • 0035088694 scopus 로고    scopus 로고
    • How do dendrites take their shape?
    • Scott EK, Luo L. 2001. How do dendrites take their shape? Nature Neurosci 4:359-365.
    • (2001) Nature Neurosci. , vol.4 , pp. 359-365
    • Scott, E.K.1    Luo, L.2
  • 39
    • 0041506970 scopus 로고    scopus 로고
    • A statistical framework to present developmental neuroanatomy
    • Donahoe J, editor. New York: Elsevier Press
    • Senft SL. 1997. A statistical framework to present developmental neuroanatomy. In: Donahoe J, editor. Biobehavioral foundations. New York: Elsevier Press.
    • (1997) Biobehavioral Foundations
    • Senft, S.L.1
  • 40
    • 84957631683 scopus 로고    scopus 로고
    • Reconstruction of brain networks by algorithmic amplification of morphometry data
    • Senft SL, Ascoli GA. 1999. Reconstruction of brain networks by algorithmic amplification of morphometry data. Lect Notes Comp Sci 1606: 25-33.
    • (1999) Lect. Notes Comp. Sci. , vol.1606 , pp. 25-33
    • Senft, S.L.1    Ascoli, G.A.2
  • 41
    • 0026598099 scopus 로고
    • Perforated patch-clamp analysis of the passive membrane properties of three classes of hippocampal neurons
    • Spruston N, Johnston D. 1992. Perforated patch-clamp analysis of the passive membrane properties of three classes of hippocampal neurons. J Neurophysiol 67:508-529.
    • (1992) J. Neurophysiol. , vol.67 , pp. 508-529
    • Spruston, N.1    Johnston, D.2
  • 42
    • 0000645390 scopus 로고
    • Theory of dendritic morphology
    • Tamori Y. 1993. Theory of dendritic morphology. Phys Rev E 48:3124-3129.
    • (1993) Phys. Rev. E , vol.48 , pp. 3124-3129
    • Tamori, Y.1
  • 43
    • 0041971308 scopus 로고    scopus 로고
    • Measures for quantifying dendritic arborizations
    • Uylings HB, van Pelt J. 2002. Measures for quantifying dendritic arborizations. Network 13:397-414.
    • (2002) Network , vol.13 , pp. 397-414
    • Uylings, H.B.1    van Pelt, J.2
  • 45
    • 0035384055 scopus 로고    scopus 로고
    • Competition for tubulin between growing neurites during development
    • van Ooyen A, Graham BP, Ramakers GJA. 2001. Competition for tubulin between growing neurites during development. Neurocomputing 38/40:73-78.
    • (2001) Neurocomputing , vol.38-40 , pp. 73-78
    • van Ooyen, A.1    Graham, B.P.2    Ramakers, G.J.A.3
  • 46
    • 0021818802 scopus 로고
    • Growth models (including terminal and segmental branching) for topological binary trees
    • Van Pelt J, Verwer RW. 1985. Growth models (including terminal and segmental branching) for topological binary trees. Bull Math Biol 47: 323-336.
    • (1985) Bull. Math. Biol. , vol.47 , pp. 323-336
    • Van Pelt, J.1    Verwer, R.W.2
  • 47
    • 0002618695 scopus 로고    scopus 로고
    • Natural variability in the geometry of dendritic branching patterns
    • Poznanski RR, editor. Amsterdam, The Netherlands: Harwood
    • van Pelt J, Uylings HBM. 1999. Natural variability in the geometry of dendritic branching patterns. In: Poznanski RR, editor. Modeling in the neurosciences: from ionic channels to neural networks. Vol 4. Amsterdam, The Netherlands: Harwood. p 79-108.
    • (1999) Modeling in the Neurosciences: From Ionic Channels to Neural Networks , vol.4 , pp. 79-108
    • van Pelt, J.1    Uylings, H.B.M.2
  • 49
    • 0030883763 scopus 로고    scopus 로고
    • Natural variability in the number of dendritic segments: Model-based inferences about branching during neurite outgrowth
    • van Pelt J, Dityatev AE, Uylings HB. 1997. Natural variability in the number of dendritic segments: model-based inferences about branching during neurite outgrowth. J Comp Neurol 387:325-340.
    • (1997) J. Comp. Neurol. , vol.387 , pp. 325-340
    • van Pelt, J.1    Dityatev, A.E.2    Uylings, H.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.