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* ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== ))) |
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-* ((( ==== **[[Advanced >>||anchor = "HAdvanced-1"]]** ==== ))) |
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=== **Beginner** === |
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=== [[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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**Level**: beginner(%%) **Type**: interactive tutorial |
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In this beginner tutorial you will learn how to make a simple model using hoc and how to use NEURON's graphical tools to create an interface for running simulations and to modify the model itself. |
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-=== [[The hoc programming language>>https://neuron.yale.edu/neuron/static/docs/programming/hoc_slides.pdf||rel=" noopener noreferrer" target="_blank"]] === |
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-**Level**: beginner(%%) **Type**: slide deck |
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-Slides from a presentation on hoc syntax. Clear and concise. Includes an example of program analysis (walkthrough of code for a model cell generated by the CellBuilder). |
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-=== [[A NEURON Programming Tutorial - Part E>>http://web.mit.edu/neuron_v7.4/nrntuthtml/tutorial/tutE.html||rel=" noopener noreferrer" target="_blank"]] === |
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-**Level**: beginner(%%) **Type**: user documentation |
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-After this tutorial, students will be able to save data from the simulations and methods for increasing simulation speed. |
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-=== **Advanced** === |
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-=== [[Reaction-Diffusion – Radial Diffusion>>https://neuron.yale.edu/neuron/docs/radial-diffusion||rel=" noopener noreferrer" target="_blank"]] === |
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-**Level**: advanced(%%) **Type**: - |
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-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. |
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-=== [[Reaction-Diffusion Example – Calcium Wave>>https://neuron.yale.edu/neuron/docs/reaction-diffusion-calcium-wave||rel=" noopener noreferrer" target="_blank"]] === |
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-**Level**: advanced(%%) **Type**: interactive tutorial |
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-The model presented in this tutorial generates Ca2+ waves and is a simplification of the model we used in Neymotin et al., 2015. |
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