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252	252	**Level**: advanced(%%) **Type**: user documentation
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254	254	Our goal in this tutorial is to build an extremely simplified model of a pyramidal cell using the CellBuilder, a powerful and convenient tool for constructing and managing models of individual neurons. We will be looking into setting up model topology, grouping sections with shared properties into subsets, assigning geometric properties to subsets or individual sections, and specifying a discretization strategy, as well as assigning biophysical properties to subsets or individual sections.
	255	+=== [[Randomness in NEURON models– Source code that demonstrates the problem>>https://neuron.yale.edu/neuron/docs/source-code-demonstrates-problem||rel=" noopener noreferrer" target="_blank"]] ===
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	257	+**Level**: advanced(%%) **Type**: user documentation
	258	+
	259	+The tutorial will show you how to declare important constants (model parameters and simulation parameters), load files that other stuff will depend on, create the model itself (just a collection of cells that spike at random times), specify instrumentation (in this case, recording of spike times), specify simulation control and execute one or more simulations with various model parameters in the source code.
	260	+=== [[Using the Channel Builder – Creating a model of stochastic channel gating>>https://neuron.yale.edu/neuron/static/docs/chanlbild/stochastic/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
	261	+
	262	+**Level**: advanced(%%) **Type**: interactive tutorial
	263	+
	264	+Given a Channel Builder that implements a deterministic channel specified by a kinetic scheme, we create a new one that implements stochastic gating.
	265	+=== [[Randomness in NEURON models - How to generate independent random spike streams>>https://neuron.yale.edu/neuron/docs/how-generate-independent-random-spike-streams||rel=" noopener noreferrer" target="_blank"]] ===
	266	+
	267	+**Level**: advanced(%%) **Type**: user documentation
	268	+
	269	+Learn how to generate random spike streams with the use of NetStim.
	270	+=== [[Using Import3D – Reading a morphometric data file and converting it to a NEURON model>>https://neuron.yale.edu/neuron/docs/import3d/read_data||rel=" noopener noreferrer" target="_blank"]] ===
	271	+
	272	+**Level**: advanced(%%) **Type**: user documentation
	273	+
	274	+Import3D tool can be used to translate common varieties of cellular morphometric data into a CellBuilder that specifies the anatomical properties of a model neuron. This Tutorial will guide you through bringing up an Import3d tool, then specifying a file to be read and finally export the data as a NEURON model.
	275	+=== [[Reaction-Diffusion – Varying initial concentrations and parameters>>https://neuron.yale.edu/neuron/docs/reaction-diffusion-varying-initial-concentrations-and-parameters||rel=" noopener noreferrer" target="_blank"]] ===
	276	+
	277	+**Level**: advanced(%%) **Type**: interactive tutorial
	278	+
	279	+This tutorial will show you how to manipulate the rxd.Species attribute to see how the choice of initial conditions affects the dynamics.
	280	+=== [[Using the CellBuilder – Managing a model cell with complex anatomy>>https://neuron.yale.edu/neuron/static/docs/cbtut/pt3d/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
	281	+
	282	+**Level**: advanced(%%) **Type**: interactive tutorial
	283	+
	284	+We use the CellBuilder to specify the spatial grid (nseg) and biophysical properties of a model based on detailed morphometric data.
	285	+