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139	139	**Level**: advanced(%%) **Type**: interactive tutorial
140	140
141	141	Learn how to Artificial Integrate and Fire cell with a synapse that is driven by an afferent burst of spikes.
142		-=== [[Reaction-Diffusion Example – Restricting a reaction to part of a region>>https://neuron.yale.edu/neuron/docs/example-restricting-reaction-part-region||rel=" noopener noreferrer" target="_blank"]] ===
143	143
144		-**Level**: advanced(%%) **Type**: user documentation
145		-
146		-Implementation example for the restriction of the reaction to part of a region.
147		-=== [[Segmenting a simulation of a model cell - Introduction>>https://neuron.yale.edu/neuron/docs/segmenting-simulation-model-cell||rel=" noopener noreferrer" target="_blank"]] ===
148		-
149		-**Level**: advanced(%%) **Type**: user documentation
150		-
151		-=== [[Scripting NEURON basics>>https://neuron.yale.edu/neuron/docs/scripting-neuron-basics||rel=" noopener noreferrer" target="_blank"]] ===
152		-
153		-**Level**: advanced(%%) **Type**: user documentation
154		-
155		-The objectives of this part of the tutorial are to get familiar with basic operations of NEURON using Python. In this worksheet we will: Create a passive cell membrane in NEURON. Create a synaptic stimulus onto the neuron. Modify parameters of the membrane and stimulus. Visualize results with bokeh.
156		-=== [[Reaction-Diffusion – Thresholds>>https://neuron.yale.edu/neuron/docs/reaction-diffusion-thresholds||rel=" noopener noreferrer" target="_blank"]] ===
157		-
158		-**Level**: advanced(%%) **Type**: interactive tutorial
159		-
160		-Learn how to scale reaction rates by a function of the form f(x) for suitably chosen a and m to approximately threshold them by a concentration.
161		-