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97	97	**Level**: advanced(%%) **Type**: user documentation
98	98
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"]] ===
101	101
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		-=== [[Randomness in NEURON models– Source code that demonstrates the solution>>https://neuron.yale.edu/neuron/docs/source-code-demonstrates-solution||rel=" noopener noreferrer" target="_blank"]] ===
116		-
117		-**Level**: advanced(%%) **Type**: user documentation
118		-
119		-