# Realization the model of network in Brain 2

**URL:** <https://brian.discourse.group/t/realization-the-model-of-network-in-brain-2/444>\
**Category:** Science, Projects, and Showcases\
**Created:** [5 August 2021 12:30 UTC](https://brian.discourse.group/t/realization-the-model-of-network-in-brain-2/444 "2021-08-05T12:30:57Z")\
**Posts on this page:** 1\
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**Author:** ![mstimberg](https://yyz2.discourse-cdn.com/free1/user_avatar/brian.discourse.group/mstimberg/32/11_2.png) [@mstimberg](https://brian.discourse.group/u/mstimberg)\
**Post date:** [13 January 2022 16:47 UTC](https://brian.discourse.group/t/realization-the-model-of-network-in-brain-2/444/16 "2022-01-13T16:47:37Z")

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I just had a quick look at the [MATLAB code](https://www.izhikevich.org/publications/net.m) on the linked page, and the model has some peculiarities. It uses a dt of 1ms, but with two 0.5ms update steps for `v`, and the synaptic input gets reset to 0 at every time step (so in a way it is a delta synapse implementation, but since the time step is very long one should probably rather think of it as a 1ms rectangular step current). There is no refractory period in that model.

Just in case you are not aware of it: some of Izhikevhich’s results have been a bit hard to replicate, and in particular the observed oscillations seem to depend on the details of the integration method and the integration time step. See e.g. the [comment in the NEST documentation](https://nest-simulator.readthedocs.io/en/latest/models/izhikevich.html?#description) and [this paper replicating the polychronization network](https://www.frontiersin.org/articles/10.3389/fninf.2018.00046/full).

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