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59	59	**Level**: advanced(%%) **Type**: -
60	60
61	61	Using NEURON Radial diffusion can be implemented in rxd using multicompartment reactions. By creating a series of shells and borders with reactions between them dependent the diffusion coefficient.
62		-=== [[Reaction-Diffusion Example – Calcium Wave>>https://neuron.yale.edu/neuron/docs/reaction-diffusion-calcium-wave||rel=" noopener noreferrer" target="_blank"]] ===
63	63
64		-**Level**: advanced(%%) **Type**: interactive tutorial
65		-
66		-The model presented in this tutorial generates Ca2+ waves and is a simplification of the model we used in Neymotin et al., 2015.
67		-=== [[Reaction-Diffusion – 3D/Hybrid Intracellular Tutorial>>https://neuron.yale.edu/neuron/docs/3dhybrid-intracellular-tutorial||rel=" noopener noreferrer" target="_blank"]] ===
68		-
69		-**Level**: advanced(%%) **Type**: interactive tutorial
70		-
71		-This tutorial provides an overview of how to set up a simple travelling wave in both cases.
72		-=== [[Reaction-Diffusion – Initialization strategies>>https://neuron.yale.edu/neuron/docs/initialization-strategies||rel=" noopener noreferrer" target="_blank"]] ===
73		-
74		-**Level**: advanced(%%) **Type**: interactive tutorial
75		-
76		-In this tutorial you will learn how to implement cell signalling function in the reaction-diffusion system by characterising your problems by the answers to three questions: (1) Where do the dynamics occur, (2) Who are the actors, and (3) How do they interact?
77		-=== [[Ball and Stick model part 3>>https://neuron.yale.edu/neuron/docs/ball-and-stick-model-part-3||rel=" noopener noreferrer" target="_blank"]] ===
78		-
79		-**Level**: advanced(%%) **Type**: user documentation
80		-
81		-=== [[Using the CellBuilder – Introduction>>https://neuron.yale.edu/neuron/static/docs/cbtut/main.html||rel=" noopener noreferrer" target="_blank"]] ===
82		-
83		-**Level**: advanced(%%) **Type**: interactive tutorial
84		-
85		-The following tutorials show how to use the CellBuilder, a powerful and convenient tool for constructing and managing models of individual neurons. It breaks the job of model specification into a sequence of tasks:
86		-1. Setting up model topology (branching pattern).
87		-2. Grouping sections with shared properties into subsets.
88		-3. Assigning geometric properties (length, diameter) to subsets or individual sections, and specifying a discretization strategy (i.e. how to set nseg).
89		-4. Assigning biophysical properties (Ra, cm, ion channels, buffers, pumps, etc.) to subsets or individual sections.
90		-=== [[Using Import3D – Exploring morphometric data and fixing problems>>https://neuron.yale.edu/neuron/docs/import3d/fix_problems||rel=" noopener noreferrer" target="_blank"]] ===
91		-
92		-**Level**: advanced(%%) **Type**: user documentation
93		-
94		-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 how to fix problems in your morphometric data.
95		-=== [[Randomness in NEURON models– The solution>>https://neuron.yale.edu/neuron/docs/solution||rel=" noopener noreferrer" target="_blank"]] ===
96		-
97		-**Level**: advanced(%%) **Type**: user documentation
98		-
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		-
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		-