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An STDP rule that is modulated by a “third factor”, in this case the dendritic action potential current of the postsynaptic neuron with an active dendrite. |
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In this tutorial, the neuron with dendritic action potentials from the NESTML active dendrite tutorial is combined with a spike-timing dependent synaptic plasticity model. The dendritic action potential current acts as the “third factor” in the learning rule (in addition to pre- and postsynaptic spike timings) and is used to gate the weight update: changes in the weight can only occur during the postsynaptic neuron’s dendritic action potential. |
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+=== [[Creating synapse models – STDP windows>>https://nestml.readthedocs.io/en/latest/tutorials/stdp_windows/stdp_windows.html||rel=" noopener noreferrer" target="_blank"]] === |
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+**Level**: advanced(%%) **Type**: interactive tutorial |
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+An STDP window describes how the strength of the synapse changes as a function of the relative timing of pre- and postsynaptic spikes. In this tutorial we will be implementing several different STDP model variants with different window functions in NESTML. |
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+=== [[Creating neuron models – Inhomogeneous Poisson generator>>https://nestml.readthedocs.io/en/latest/tutorials/inhomogeneous_poisson/inhomogeneous_poisson.html||rel=" noopener noreferrer" target="_blank"]] === |
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+**Level**: advanced(%%) **Type**: interactive tutorial |
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+This tutorial will show you how to create a model that emits spikes according to an inhomogeneous Poisson distribution. |
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