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Neural Netw. 2001 Jul-Sep;14(6-7):921-32.

The double queue method: a numerical method for integrate-and-fire neuron networks.

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Electrical Engineering Department, University of Pennsylvania, Philadelphia 19104, USA.

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  • Neural Netw. 2002 Sep;15(7):931.


Numerical methods for initial-value problems based on finite-differencing of differential equations (FDM) are not well suited for the simulation of an integrate-and-fire neuron network (IFNN) due to the discontinuities implied by the firing condition of the neurons. The Double Queue Method (DQM) is an event-queue based numerical method designed for the simulation of an IFNN that can deal with such discontinuities properly. In the DQM, the states of individual neurons at the next predicted discontinuous points are determined by an analytic solution, meaning an optimal performance in both accuracy and speed. A comparison study with the FDM demonstrates the superiority of the DQM, and provides some examples where the FDM gives inaccurate results that can possibly lead to a false conclusion about the dynamics of an IFNN.

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