Available tutorials:

Izhikevich tutorial

Level: beginner

Learn how to write the Izhikevich spiking neuron model in NESTML.

Active dendrite tutorial

Level: advanced

Learn how to model a dendritic action potential in an existing NESTML neuron.

Dopamine-modulated STDP synapse tutorial

Level: advanced

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.

Ornstein-Uhlenbeck noise tutorial

Level: advanced

Implement the Ornstein-Uhlenbeck process in NESTML and use it to inject a noise current into a neuron.

STDP synapse tutorial

Level: advanced

A triplet STDP rule is sensitive to third-order correlations of pre- and postsynaptic spike times, and accounts better for experimentally seen dependence on timing and frequency.

STDP windows tutorial

Level: advanced

An STDP window describes how the strength of the synapse changes as a function of the relative timing of pre- and postsynaptic spikes. Several different STDP model variants with different window functions are implemented.