Changes for page NESTML

Last modified by abonard on 2025/06/13 16:09

From version 1.1
edited by adavison
on 2023/02/27 16:46
Change comment: There is no comment for this version
To version 5.1
edited by abonard
on 2025/04/10 15:06
Change comment: There is no comment for this version

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1 -XWiki.adavison
1 +XWiki.abonard
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1 -Available tutorials:
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3 -* [[Izhikevich tutorial>>https://nestml.readthedocs.io/en/latest/tutorials/izhikevich/nestml_izhikevich_tutorial.html||rel=" noopener noreferrer" target="_blank"]] (beginner)
4 -* [[Active dendrite tutorial>>https://nestml.readthedocs.io/en/latest/tutorials/active_dendrite/nestml_active_dendrite_tutorial.html||rel=" noopener noreferrer" target="_blank"]] (advanced)
5 -* [[Dopamine-modulated STDP synapse tutorial>>https://nestml.readthedocs.io/en/latest/tutorials/stdp_dopa_synapse/stdp_dopa_synapse.html||rel=" noopener noreferrer" target="_blank"]] (advanced)
6 -* [[Ornstein-Uhlenbeck noise tutorial>>https://nestml.readthedocs.io/en/latest/tutorials/ornstein_uhlenbeck_noise/nestml_ou_noise_tutorial.html||rel=" noopener noreferrer" target="_blank"]] (advanced)
7 -* [[STDP synapse tutorial>>https://nestml.readthedocs.io/en/latest/tutorials/triplet_stdp_synapse/triplet_stdp_synapse.html||rel=" noopener noreferrer" target="_blank"]] (advanced)
8 -* [[STDP windows tutorial>>https://nestml.readthedocs.io/en/latest/tutorials/stdp_windows/stdp_windows.html||rel=" noopener noreferrer" target="_blank"]] (advanced)
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3 +* ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== )))
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5 +* ((( ==== **[[Advanced >>||anchor = "HAdvanced-1"]]** ==== )))
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7 +=== **Beginner** ===
8 +
9 +=== [[Creating neuron models – Spike-frequency adaptation (SFA)>>https://nestml.readthedocs.io/en/latest/tutorials/spike_frequency_adaptation/nestml_spike_frequency_adaptation_tutorial.html||rel=" noopener noreferrer" target="_blank"]] ===
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11 +**Level**: beginner(%%) **Type**: interactive tutorial
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13 +Spike-frequency adaptation (SFA) is the empirically observed phenomenon where the firing rate of a neuron decreases for a sustained, constant stimulus. Learn how to model SFA using threshold adaptation and an adaptation current.
14 +=== [[Creating neuron models – Izhikevich tutorial>>https://nestml.readthedocs.io/en/latest/tutorials/izhikevich/nestml_izhikevich_tutorial.html||rel=" noopener noreferrer" target="_blank"]] ===
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16 +**Level**: beginner(%%) **Type**: interactive tutorial
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18 +Learn how to start to use NESTML by writing the Izhikevich spiking neuron model in NESTML.
19 +=== **Advanced** ===
20 +
21 +=== [[Creating synapse models – Dopamine-modulated STDP synapse>>https://nestml.readthedocs.io/en/latest/tutorials/stdp_dopa_synapse/stdp_dopa_synapse.html||rel=" noopener noreferrer" target="_blank"]] ===
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23 +**Level**: advanced(%%) **Type**: interactive tutorial
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25 +Adding dopamine modulation to the weight update rule of an STDP synapse allows it to be used in reinforcement learning tasks. This allows a network to learn which of the many cues and actions preceding a reward should be credited for the reward. In this tutorial, a dopamine-modulated STDP model is created in NESTML, and we characterize the model before using it in a network (reinforcement) learning task.
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