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           **Level**: advanced(%%)  **Type**: interactive tutorial | 
        
              
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           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? | 
        
              
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          +=== [[Ball and Stick model part 3>>https://neuron.yale.edu/neuron/docs/ball-and-stick-model-part-3||rel=" noopener noreferrer" target="_blank"]] === | 
        
              
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          +**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          +=== [[Using the CellBuilder – Introduction>>https://neuron.yale.edu/neuron/static/docs/cbtut/main.html||rel=" noopener noreferrer" target="_blank"]] === | 
        
              
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          +**Level**: advanced(%%)  **Type**: interactive tutorial | 
        
              
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          +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: | 
        
              
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          +1. Setting up model topology (branching pattern). | 
        
              
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          +2. Grouping sections with shared properties into subsets. | 
        
              
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          +3. Assigning geometric properties (length, diameter) to subsets or individual sections, and specifying a discretization strategy (i.e. how to set nseg). | 
        
              
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          +4. Assigning biophysical properties (Ra, cm, ion channels, buffers, pumps, etc.) to subsets or individual sections. | 
        
              
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          +=== [[Using Import3D – Exploring morphometric data and fixing problems>>https://neuron.yale.edu/neuron/docs/import3d/fix_problems||rel=" noopener noreferrer" target="_blank"]] === | 
        
              
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          +**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          +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. | 
        
              
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          +=== [[Randomness in NEURON models– The solution>>https://neuron.yale.edu/neuron/docs/solution||rel=" noopener noreferrer" target="_blank"]] === | 
        
              
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          +**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          +In this part of the tutorial we will show you how to give NetStim its own random number generator. | 
        
              
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          +=== [[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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          +**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          +How to deal with simulations that generate a lot of data that must be saved? We will showcase different approaches. | 
        
              
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          +=== [[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"]] === | 
        
              
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          +**Level**: advanced(%%)  **Type**: interactive tutorial | 
        
              
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          +Our goal is to implement a new voltage-gated macroscopic current whose properties are described by HH-style equations. | 
        
              
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          +=== [[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"]] === | 
        
              
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          +**Level**: advanced(%%)  **Type**: interactive tutorial | 
        
              
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          +Here we will implement a new voltage-gated macroscopic current whose properties are described by a family of chemical reactions. | 
        
              
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          +=== [[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"]] === | 
        
              
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          +**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          +=== [[Using the Network Builder – Introduction to Network Construction>>https://neuron.yale.edu/neuron/static/docs/netbuild/intro.html||rel=" noopener noreferrer" target="_blank"]] === | 
        
              
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          +**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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