| ... |
... |
@@ -1,26 +1,9 @@ |
|
1 |
+Available tutorials: |
| 1 |
1 |
|
|
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 |
|
-* ((( ==== **[[Advanced >>||anchor = "HAdvanced-1"]]** ==== ))) |
| 6 |
|
- |
| 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"]] === |
| 10 |
|
- |
| 11 |
|
-**Level**: beginner(%%) **Type**: interactive tutorial |
| 12 |
|
- |
| 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"]] === |
| 15 |
|
- |
| 16 |
|
-**Level**: beginner(%%) **Type**: interactive tutorial |
| 17 |
|
- |
| 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"]] === |
| 22 |
|
- |
| 23 |
|
-**Level**: advanced(%%) **Type**: interactive tutorial |
| 24 |
|
- |
| 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. |
| 26 |
|
- |
