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97	97	**Level**: advanced(%%) **Type**: user documentation
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99	99	In this part of the tutorial we will show you how to give NetStim its own random number generator.
	100	+=== [[Segmentation intro: Dealing with simulations that generate a lot of data>>https://neuron.yale.edu/neuron/docs/dealing-simulations-generate-lot-data||rel=" noopener noreferrer" target="_blank"]] ===
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	102	+**Level**: advanced(%%) **Type**: user documentation
	103	+
	104	+How to deal with simulations that generate a lot of data that must be saved? We will showcase different approaches.
	105	+=== [[Using the Channel Builder – Creating a channel from an HH-style specification>>https://neuron.yale.edu/neuron/static/docs/chanlbild/hhstyle/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
	106	+
	107	+**Level**: advanced(%%) **Type**: interactive tutorial
	108	+
	109	+Our goal is to implement a new voltage-gated macroscopic current whose properties are described by HH-style equations.
	110	+=== [[Using the Channel Builder – Creating a channel from a kinetic scheme specification>>https://neuron.yale.edu/neuron/static/docs/chanlbild/kinetic/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
	111	+
	112	+**Level**: advanced(%%) **Type**: interactive tutorial
	113	+
	114	+Here we will implement a new voltage-gated macroscopic current whose properties are described by a family of chemical reactions.
	115	+