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Changes for page Neuron

Last modified by abonard on 2025/09/16 10:47

From version 21.1
edited by abonard
on 2025/04/10 15:07
Change comment: There is no comment for this version
To version 78.1
edited by abonard
on 2025/04/10 15:15
Change comment: There is no comment for this version

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79 79  **Level**: advanced(%%) **Type**: user documentation
80 80  
81 -=== [[Using the CellBuilder – Introduction>>https://neuron.yale.edu/neuron/static/docs/cbtut/main.html||rel=" noopener noreferrer" target="_blank"]] ===
82 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 -