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Additional Efficient Computation of Branched Nerve Equations: Adaptive Time Step and Ideal Voltage Clamp

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Abstract

Various improvements are described for the simulation of biophysically and anatomically detailed compartmental models of single neurons and networks of neurons. These include adaptive time-step integration and a reordering of the circuit matrix to allow ideal voltage clamp of arbitrary nodes. We demonstrate how the adaptive time-step method can give equivalent accuracy as a fixed time-step method for typical current clamp simulation protocols, with about a 2.5 reduction in runtime. The ideal voltage clamp method is shown to be more stable than the nonideal case, in particular when used with the adaptive time-step method. Simulation results are presented using the Surf-Hippo Neuron Simulation System, a public domain object-oriented simulator written in Lisp.

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Authors and Affiliations

  1. Unité de Neurosciences Integratiues et Computationelles, Institut Alfred Fessard-CNRS, 91198, Gif-sur-Yvette, France

    Lyle J. Borg-Graham

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  1. Lyle J. Borg-Graham
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Borg-Graham, L.J. Additional Efficient Computation of Branched Nerve Equations: Adaptive Time Step and Ideal Voltage Clamp. J Comput Neurosci 8, 209–226 (2000). https://doi.org/10.1023/A:1008945925865

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  • DOI: https://doi.org/10.1023/A:1008945925865

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