L-neuron: A modeling tool for the efficient generation and parsimonious description of dendritic morphology

Neurocomputing

Volumn 32-33, Issue , 2000, Pages 1003-1011

  Ascoli, Giorgio A ^a   Krichmar, Jeffrey L ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

Dendritic geometry and topology; L Neuron; Recursive rules

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COMPUTER SOFTWARE; ELECTROPHYSIOLOGY; PROBABILITY DISTRIBUTIONS; RECURSIVE FUNCTIONS; TOPOLOGY;

DENDRITIC MORPHOLOGY; L-NEURON; RECURSIVE RULES;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; CELL STRUCTURE; COMPUTER PROGRAM; DENDRITE; GEOMETRY; MODEL; NERVE CELL; NERVOUS SYSTEM ELECTROPHYSIOLOGY; PARAMETER; PRIORITY JOURNAL;

EID: 0033913163     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(00)00272-1     Document Type: Article

References (14)

1. Ascoli G.A. Progress and perspective in computational neuroanatomy. Anat. Rec. 257(6):1999;195-207.
2. Bower J.M., Beeman D. The Book of GENESIS. Exploring Realistic Neural Models with the GEneral NEural SImulation System:1998;Springer, New York.
3. Burke R.E., Cullheim S., Fleshman J.W., Glenn L.L. Dendritic morphology of type-identified. α -motoneurons in the cat Lasek R.J., Black M.M. Intrinsic Determinants of Neuronal Form and Function. 1988;167-176 Liss, New York.
4. Burke R.E., Marks W.B., Ulfhake B. A parsimonious description of motoneurons dendritic morphology using computer simulation. J. Neurosci. 12:1992;2403-2416.
5. Cannon R.C., Turner D.A., Pyapali G.K., Wheal H.V. An on-line archive of reconstructed hippocampal neurons. J. Neurosci. Methods. 84:1998;49-54.
6. Glaser J.R., Glaser E.M. Neuron imaging with Neurolucida - a PC-based system for image combining microscopy. Comput. Med. Imaging Graph. 14:1990;307-317.
7. Hamilton P. A language to describe the growth of neurites. Biol. Cybernet. 68:1993;559-565.
8. Hillman D.E. Neuronal shape parameters and substructures as a basis of neuronal form. Schmitt F. The Neurosciences, 4th Study Program. 1979;477-498 MIT Press, Cambridge.
9. Hines M.L., Carnevale N.T. The NEURON simulation environment. Neural Comput. 9:1997;1179-1209.
10. Prusinkiewicz P., Lindenmayer A. The Algorithmic Beauty of Plants. 1990;Springer, New York.
11. Rall W. Branching dendritic trees and motoneurons membrane resistivity. Exp. Neurol. 1:1959;491-527.
12. S.L. Senft, G.A. Ascoli, Reconstruction of brain networks by algorithmic amplification of morphometry data, Lecture Notes Computer Science, Vol. 1606, 1999, 25-33.
13. Tamori Y. Theory of dendritic morphology. Phys. Rev. E. 48:1993;3124-3129.
14. Verwer W.H., van Pelt J. Descriptive and comparative analysis of geometrical properties of neuronal tree structures. J. Neurosci. Methods. 18:1986;179-206.