Abstract
Programs designed specifically to simulate nerve equations compare favorably with general purpose simulation programs in three areas. 1) The user deals directly with concepts that are familiar at the neuroscience level and is not required to translate the problem into another domain. 2) The program contains functions better suited for controlling the simulation and graphing the results of real neurophysiological problems. 3) Special methods and tricks can be used to take advantage of the structure of nerve equations to solve them much more quickly, e.g. Hines (1984) and Mascagni (1991).
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References
Crank, J. and Nicholson, P.N. (1947) A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type. Proc. Cambridge Phil. Soc. 43 : 50–67.
Frankenhaeuser, B. and Huxley, A.F. (1964). The action potential in the myelinated nerve fibre of Xenopus laevis as computed on the basis of voltage clamp data. J. Physiol. (Loud.) 171: 302–315.
Hines, Michael. (1984). Efficient computation of branched nerve equations. Int. J. of Biomed. Computing. 15: 69–76.
Hines, Michael. (1989). A program for simulation of nerve equations with branching geometries. Int. J. of Biomed. Computing. 24. 55–68.
Kernighan, B.W. and Pike, R. (1984). The Unix Programming Environment. Prentice hall, Englewood Cliffs, New Jersey.
Kohn, M. C., Hines, M., Kootsey, J. M., and Feezor, M. D. (1989). A block organized model builder. Proceedings of the symposium on physiological modeling at the 7th ICCM Chicago In press.
Mascagni, Michael. (1991). A parallelizing algorithm for computing solutions to arbitrarily branched cable neuron models. J. Neurosci. Methods. 36 :105–114.
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© 1993 Springer Science+Business Media New York
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Hines, M. (1993). NEURON — A Program for Simulation of Nerve Equations. In: Eeckman, F.H. (eds) Neural Systems: Analysis and Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3560-7_11
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DOI: https://doi.org/10.1007/978-1-4615-3560-7_11
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