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Changes for page NESTML

Last modified by abonard on 2025/09/16 10:47

From version 3.1
edited by abonard
on 2025/04/10 15:06
Change comment: There is no comment for this version
To version 1.1
edited by adavison
on 2023/02/27 16:46
Change comment: There is no comment for this version

Summary

Details

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Author
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1 -XWiki.abonard
1 +XWiki.adavison
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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)
2 2  
3 -* ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== )))
4 -
5 -=== **Beginner** ===
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7 -=== [[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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9 -**Level**: beginner(%%) **Type**: interactive tutorial
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11 -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.
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