Abstract
A practical guide is provided to web-based neuronal databases, and various forms of quantitative analysis of neurons and dendrites. Computational modeling and simulation of morphological and electrophysiological properties allow a complete and direct study of the structure-activity relationship in single cells. Large numbers of anatomically realistic synthetic neurons can also be assembled in real-scale networks, to complement reconstructed neurons. These constructs can provide a bridge between single-cell morphology and system-level stereology, as well as between subcellular biophysical properties and emergent network activity. Further, integrating together multiple databases of neurons may facilitate an overall goal of reconstruction and understanding of circuitry within the brain, approaching the brain as a collection of morphologically unique, interconnected neurons
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References
Ascoli, G.A. (1999) Progress and perspectives in computational neuroanatomy. Anat. Rec. 257,195–207.
Ascoli, G.A. (2002) Neuroanatomies algorithms for dendritic modeling. Network, in press.
Ascoli, G.A. and Krichmar, J.L. (2000) L-Neuron: a modeling tool for the generation and parsimonious description of dendritic morphology. Neurocomputing 32–33, 1003–1011.
Ascoli, G.A., Krichmar, J.L., Nasuto, S.J. and Senft, S.L. (2001a) Generation, description and storage of dendritic morphology data. Phil. Trans. Royal Soc. London (Series B) 356, 1131–1145.
Ascoli, G.A., Krichmar, J.L., Scorcioni, R., Nasuto, S.J. and Senft, S.L. (2001b) Computer generation and quantitative morphometric analysis of virtual neurons. Anat. Embryol. 204, 283–301.
Ascoli, G.A. and Samsonovich, A. (2002) Bayesian morphometry of hippocampal cells suggests same-cell somatodendritic repulsion. Adv. Neural Proc. Syst, in press
Bower, J.M. and Beeman, D. (1998) The Book of GENESIS. Teleos Publishing, Los Angeles. Cannon, R.C., Howell, F.W., Goddard, N.H. and de Schutter, E. (in press) Non-curated distributed databases for experimental data and models in neuroscience. Network.
Cannon, R.C., Turner, D.A., Pyapali, G.K. and Wheal, H.V. (1998) On-line archive of reconstructed hippocampal neurons using CellViewer. J. Neurosci. Meth. 84, 49–54.
Cannon, R.C., Wheal, H.V. and Turner, D.A. (1999) Dendrites of classes of hippocampal neurons differ in structural complexity and branching. J. Comp. Neurol. 413, 619–633.
De Schutter, E. (2000) Computational Neuroscience: Realistic Modelling for Experimentalists. CRC Press, Boca Raton, FL.
Henze, D.A., Cameron, W.E., 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, 331–44.
Hines, M.L. and Carnevale, N.T. (2001) NEURON: a tool for neuroscientists. The Neuroscientist 7, 23–135.
Horcholle-Bossavit, G., Gogan, P., Ivanov, Y., Korogod, S. and Tyc-Dumont, S. (2000) The problem of morphological noise in reconstructed dendritic arborizations. J. Neuroci. Meth. 95, 83–93.
Ishizuka, N., Cowan, W.M. and Amaral, D.G. (1995) A quantitative analysis of the dendritic organization of pyramidal cells in the rat hippocampus. J Comp Neurol. 362, 17–45.
Koch, C. and Segev, I. (1998) Methods in Neuronal Modeling: From Ions to Networks. 2nd edition. MIT Press, Cambridge, MA.
Krichmar, J.L., Nasuto, S.J., Scorcioni, R., Washington, S.D. and Ascoli, G.A. (2002) Effects of dendritic morphology on CA3 pyramidal cell electrophysiology: a simulation study. Brain Res., in press.
Lazarewicz, M.T., Boer-Iwema, S. and Ascoli, G.A. (2002a) Practical aspects in anatomically accurate simulations of neuronal electrophysiology. In Computational Neuroanatomy: Principles and Methods, ed. G. Ascoli. Humana Press, Totowa, NJ.
Lazarewicz, M.T., Migliore, M. and Ascoli, G.A. (2002b) A new bursting model of CA3 pyramidal cell physiology suggests multiple locations for spike initiation. Biosystems, in press.
Migliore, M., Cook, E.P., Jaffe, D.B., Turner, D.A. and Johnston, D. (1995) Computer simulations of morphologically reconstructed CA3 hippocampal neurons. J. Neurophysiol. 73, 1157–1168.
Mirsky, J.S., Nadkarni, P.M., Healy, M.D., Miller, P.L. and Shepherd, G.M. (1998) Database tools for integrating and searching membrane property data correlated with neuronal morphology. J. Neurosci. Meth. 82, 105–121.
Nasuto, S.J., Krichmar, J.L. and Ascoli, G.A. (2001) A computational study of the relationship between neuronal morphology and electrophysiology in an Alzheimer’s Disease model. Neurocomputing 38–40, 1477–1487.
Pyapali, G.K. and Turner, D.A. (1996) Increased dendritic extent in CA1 hippocampal pyramidal cells from aged F344 rats. Neurobiol. Aging 17,601–611.
Scorcioni, R. and Ascoli, G.A. (2001) Algorithmic extraction of morphological statistics from electronic archives of neuroanatomy. Lect. Notes Comp. Sci. 2084, 30–37.
Scorcioni, R., Boutiller, J.M. and Ascoli, G.A. (2002) A real scale model of the dentate gyrus based on single-cell reconstructions and 3D rendering of a brain atlas. Neurocomputing, in press.
Senft, S.L. and Ascoli, G.A. (1999) Reconstruction of brain networks by algorithmic amplification of morphometry data. Lect. Notes Comp. Sci. 1606, 25–33.
Turner, D.A. (1984) Conductance transients onto dendritic spines in a segmental cable model of CA1 and dentate hippocampal neurons. Biophys. J. 46, 85–96.
Turner, D.A. (1988) Waveform and amplitude characteristics of evoked responses to dendritic stimulation in guinea pig CA1 pyramidal cells. J. Physiol. (London) 395, 419–439.
Turner, D.A., Isaac, J., Chen, Y., Stockley, E.W. and Wheal, H.V. (1996) Analysis of dendritic synaptic sites in hippocampal CA1 pyramidal cells - variability and nonuniformity. In Excitatory Synaptic Transmission, ed. H.V. Wheal. Oxford Press, Oxford, pp. 171–189.
Turner, D.A., Wheal, H.V., Cole, H. and Stockley, E. (1991) Three-dimensional reconstructions and analysis of the cable properties of neurones. In Cellular Neurobiology, ed. J. Chad, H.V. Wheal. Oxford Press, Oxford, pp. 225–246.
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Turner, D.A., Cannon, R.C., Ascoli, G.A. (2003). Web-Based Neuronal Archives. In: Kötter, R. (eds) Neuroscience Databases. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1079-6_6
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DOI: https://doi.org/10.1007/978-1-4615-1079-6_6
Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4615-1079-6
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