
Published online:
12 November 2020
Published in print:
12 November 1998
Online ISBN:
9780197562338
Print ISBN:
9780195104912
Contents
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C.1 Linear Cable Equation C.1 Linear Cable Equation
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C.1.1 Unbranched Cables and Tridiagonal Matrices C.1.1 Unbranched Cables and Tridiagonal Matrices
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Discretization in Space Discretization in Space
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Eigenvalue Analysis Eigenvalue Analysis
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Explicit Discretization in Time Explicit Discretization in Time
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Implicit Discretization in Time Implicit Discretization in Time
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Semi-Implicit Discretization in Time Semi-Implicit Discretization in Time
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C.1.2 Branched Cables and Hines Matrices C.1.2 Branched Cables and Hines Matrices
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C.1.3 Boundary Conditions C.1.3 Boundary Conditions
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C.1.4 Eigensystems and Model Fitting C.1.4 Eigensystems and Model Fitting
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C.1.5 Green’s Functions and Matrix Inverses C.1.5 Green’s Functions and Matrix Inverses
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Extension to Two and Three Spatial Dimensions Extension to Two and Three Spatial Dimensions
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C.2 Nonlinear Cable Equations C.2 Nonlinear Cable Equations
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C.2.1 Generalized Hodgkin-Huxley Equations C.2.1 Generalized Hodgkin-Huxley Equations
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C.2.2 Calcium Buffering C.2.2 Calcium Buffering
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C.2.3 Conclusion C.2.3 Conclusion
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End Matter
487Appendix C Sparse Matrix Methods for Modeling Single Neurons
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Pages
487–502
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Published:November 1998
Cite
Pearlmutter, Barak A, and Anthony Zador, 'Sparse Matrix Methods for Modeling Single Neurons', Biophysics of Computation: Information Processing in Single Neurons (NY , 1998; online edn, Oxford Academic, 12 Nov. 2020), https://doi.org/10.1093/oso/9780195104912.005.0030, accessed 9 May 2025.
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