Beginner
Creating neuron models – Spike-frequency adaptation (SFA)
Level: beginner Type: interactive tutorial
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.
Creating neuron models – Izhikevich tutorial
Level: beginner Type: interactive tutorial
Learn how to start to use NESTML by writing the Izhikevich spiking neuron model in NESTML.
Advanced
Creating synapse models – Dopamine-modulated STDP synapse
Level: advanced Type: interactive tutorial
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.