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8 - How to initialize simulations

Published online by Cambridge University Press:  01 September 2010

Nicholas T. Carnevale
Affiliation:
Yale University, Connecticut
Michael L. Hines
Affiliation:
Yale University, Connecticut
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Summary

For it is one of the more curious things about this Leviathan, that his skeleton gives very little idea of his general shape. Though Jeremy Bentham's skeleton, which hangs for candelabra in the library of one of his executors, correctly conveys the idea of a burly-browed utilitarian old gentleman, with all Jeremy's other leading personal characteristics; yet nothing of this kind could be inferred from any leviathan's articulated bones.

In most cases, initialization basically means the assignment of values at time t = 0 for membrane potential, gating states, and ionic concentrations at every spatial position in the model. A model is properly initialized when clicking on the Init & Run button produces exactly the same results, regardless of previous simulation history. Of course we assume that model parameters have not changed between runs, and that any random number generator has been re-initialized with the same seed so that it produces the same sequence of “random” numbers. Models described by kinetic schemes require that each of the reactant states be initialized to some concentration. If linear circuits are involved, initial values must be assigned to voltages across capacitors and the internal states of operational amplifiers. For networks and other models that use the event delivery system, initialization also includes specifying which events are in transit to their destinations at time 0 (i.e. events generated, at least conceptually, at t ≤ 0 for delivery at t ≥ 0).

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The NEURON Book , pp. 183 - 206
Publisher: Cambridge University Press
Print publication year: 2006

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