Literature DB >> 3841013

Modeling the electrical behavior of anatomically complex neurons using a network analysis program: passive membrane.

I Segev, J W Fleshman, J P Miller, B Bunow.   

Abstract

We describe the application of a popular and widely available electrical circuit simulation program called SPICE to modeling the electrical behavior of neurons with passive membrane properties and arbitrarily complex dendritic trees. Transient responses may be calculated at any location in the cell model following current, voltage or conductance perturbations at any point. A numbering method is described for binary trees which is helpful in transforming complex dendritic structures into a coded list of short cylindrical dendritic segments suitable for input to SPICE. Individual segments are modeled as isopotential compartments comprised of a parallel resistor and capacitor, representing the transmembrane impedance, in series with one or two core resistors. Synaptic current is modeled by a current source controlled by the local membrane potential and an "alpha-shaped" voltage, thus simulating a conductance change in series with a driving potential. Extensively branched test cell circuits were constructed which satisfied the equivalent cylinder constraints (Rall 1959). These model neurons were perturbed by independent current sources and by synaptic currents. Responses calculated by SPICE are compared with analytical results. With appropriately chosen model parameters, extremely accurate transient calculations may be obtained. Details of the SPICE circuit elements are presented, along with illustrative examples sufficient to allow implementation of passive nerve cell models on a number of common computers. Methods for modeling excitable membrane are presented in the companion paper (Bunow et al. 1985).

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Year:  1985        PMID: 3841013     DOI: 10.1007/bf00355688

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  38 in total

1.  Axon voltage-clamp simulations. I. Methods and tests.

Authors:  J W Moore; F Ramón; R W Joyner
Journal:  Biophys J       Date:  1975-01       Impact factor: 4.033

2.  Theory of physiological properties of dendrites.

Authors:  W RALL
Journal:  Ann N Y Acad Sci       Date:  1962-03-02       Impact factor: 5.691

3.  Transient potentials in dendritic systems of arbitrary geometry.

Authors:  E G Butz; J D Cowan
Journal:  Biophys J       Date:  1974-09       Impact factor: 4.033

4.  Time constants and electrotonic length of membrane cylinders and neurons.

Authors:  W Rall
Journal:  Biophys J       Date:  1969-12       Impact factor: 4.033

5.  Limits of usefulness of electrophysiological methods for estimating dendritic length in neurones.

Authors:  H R de Jongh; D Kernell
Journal:  J Neurosci Methods       Date:  1982-07       Impact factor: 2.390

6.  Unequal diameters and their effects on time-varying voltages in branched neurons.

Authors:  B Horwitz
Journal:  Biophys J       Date:  1983-01       Impact factor: 4.033

7.  Calibrating compartmental models of neurons.

Authors:  D H Perkel; B Mulloney
Journal:  Am J Physiol       Date:  1978-07

8.  Electrotonic properties of neurons: steady-state compartmental model.

Authors:  D H Perkel; B Mulloney
Journal:  J Neurophysiol       Date:  1978-05       Impact factor: 2.714

9.  Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input.

Authors:  W Rall
Journal:  J Neurophysiol       Date:  1967-09       Impact factor: 2.714

10.  Specific membrane properties of cat motoneurones.

Authors:  J N Barrett; W E Crill
Journal:  J Physiol       Date:  1974-06       Impact factor: 5.182

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  25 in total

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Authors:  H R Lüscher; J S Shiner
Journal:  Biophys J       Date:  1990-12       Impact factor: 4.033

2.  Computation of action potential propagation and presynaptic bouton activation in terminal arborizations of different geometries.

Authors:  H R Lüscher; J S Shiner
Journal:  Biophys J       Date:  1990-12       Impact factor: 4.033

3.  Excitation of central nervous system neurons by nonuniform electric fields.

Authors:  C C McIntyre; W M Grill
Journal:  Biophys J       Date:  1999-02       Impact factor: 4.033

4.  Functional role of spines in the retinal horizontal cell network.

Authors:  R L Winslow; R F Miller; T E Ogden
Journal:  Proc Natl Acad Sci U S A       Date:  1989-01       Impact factor: 11.205

Review 5.  Is realistic neuronal modeling realistic?

Authors:  Mara Almog; Alon Korngreen
Journal:  J Neurophysiol       Date:  2016-08-17       Impact factor: 2.714

6.  A system model for investigating passive electrical properties of neurons.

Authors:  A D'Aguanno; B L Bardakjian; P L Carlen
Journal:  Biophys J       Date:  1989-06       Impact factor: 4.033

7.  Solution of the Hodgkin-Huxley and cable equations on an array processor.

Authors:  N Stockbridge
Journal:  Ann Biomed Eng       Date:  1989       Impact factor: 3.934

8.  A continuous cable method for determining the transient potential in passive dendritic trees of known geometry.

Authors:  W R Holmes
Journal:  Biol Cybern       Date:  1986       Impact factor: 2.086

9.  Get the rhythm: modeling neuronal activity.

Authors:  Patrick Meuth; Sven G Meuth; Daniel Jacobi; Tilman Broicher; Hans-Christian Pape; Thomas Budde
Journal:  J Undergrad Neurosci Educ       Date:  2005-10-15

10.  PyMOOSE: Interoperable Scripting in Python for MOOSE.

Authors:  Subhasis Ray; Upinder S Bhalla
Journal:  Front Neuroinform       Date:  2008-12-19       Impact factor: 4.081

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