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3	3	* ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== )))
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	5	+* ((( ==== **[[Advanced >>||anchor = "HAdvanced-1"]]** ==== )))
	6	+
5	5	=== **Beginner** ===
6	6
7	7	=== [[A NEURON Programming Tutorial - part C>>http://web.mit.edu/neuron_v7.4/nrntuthtml/tutorial/tutC.html||rel=" noopener noreferrer" target="_blank"]] ===
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50	50	**Level**: beginner(%%) **Type**: user documentation
51	51
52	52	After this tutorial, students will be able to save data from the simulations and methods for increasing simulation speed.
	55	+=== **Advanced** ===
53	53
	57	+=== [[Reaction-Diffusion – Radial Diffusion>>https://neuron.yale.edu/neuron/docs/radial-diffusion||rel=" noopener noreferrer" target="_blank"]] ===
	58	+
	59	+**Level**: advanced(%%) **Type**: -
	60	+
	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	+
	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	+