| ... | ... | @@ -69,42 +69,4 @@ | 
              
                    | 69 | 69 | **Level**: advanced(%%)  **Type**: interactive tutorial | 
              
                    | 70 | 70 |  | 
              
                    | 71 | 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 | 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 |  | -=== [[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 |  | - |