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I: No breaking changePreviously written code will work as before, no one should note anything changing (aside the fix)Previously written code will work as before, no one should note anything changing (aside the fix)S: NormalHandle this with default priorityHandle this with default priorityT: EnhancementNew functionality, model or documentationNew functionality, model or documentationstaleAutomatic marker for inactivity, please have another look hereAutomatic marker for inactivity, please have another look here
Description
The current documentation for the aeif models does not point out two peculiarities of these models:
- The default refractory period to these models is zero. This is consistent with the model definition in Brette & Gerstner, but most likely unexpected, since NEST models generally have a non-zero refractory period.
- Because NEST uses an adaptive stepsize solver for the aeif ODEs with spike detection inside the update loop, aeif neurons can fire multiple spikes in a single time step if the refractory period is zero (the default). This can lead to exploding spike numbers and extreme slow-down of simulations.
Documentation should point this out clearly in note boxes and recommend users to set t_ref > 0.
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I: No breaking changePreviously written code will work as before, no one should note anything changing (aside the fix)Previously written code will work as before, no one should note anything changing (aside the fix)S: NormalHandle this with default priorityHandle this with default priorityT: EnhancementNew functionality, model or documentationNew functionality, model or documentationstaleAutomatic marker for inactivity, please have another look hereAutomatic marker for inactivity, please have another look here
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