Changes for page Neuron

Last modified by abonard on 2025/04/10 15:17

From version 5.1
edited by abonard
on 2025/04/10 15:07
Change comment: There is no comment for this version
To version 8.1
edited by abonard
on 2025/04/10 15:07
Change comment: There is no comment for this version

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19 19  **Level**: beginner(%%) **Type**: user documentation
20 20  
21 21  After this tutorial, students will be able to work with more advanced topics of building multi-compartmental neurons and using different types of graphs to display the results
22 +=== [[A NEURON Programming Tutorial - Part D>>http://web.mit.edu/neuron_v7.4/nrntuthtml/tutorial/tutE.html||rel=" noopener noreferrer" target="_blank"]] ===
22 22  
24 +**Level**: beginner(%%) **Type**: user documentation
25 +
26 +After this tutorial, students will be able to add new membrane mechanisms to the simulator and incorporate them in our neurons.
27 +=== [[Construction and Use of Models: Part 1. Elementary tools>>https://neuron.yale.edu/neuron/static/docs/elementarytools/outline.htm||rel=" noopener noreferrer" target="_blank"]] ===
28 +
29 +**Level**: beginner(%%) **Type**: user documentation
30 +
31 +A good beginner's tutorial to get an introduction to some of NEURON's basic GUI tools.
32 +=== [[A NEURON Programming Tutorial - Introduction>>https://web.mit.edu/neuron_v7.4/nrntuthtml/index.html||rel=" noopener noreferrer" target="_blank"]] ===
33 +
34 +**Level**: beginner(%%) **Type**: user documentation
35 +
36 +This is a web based tutorial in the NEURON Simulation package. It will hopefully take you step by step, through the process of creating a complex simulation of a small network of neurons.
37 +Starting by creating a single compartment neuron model with Hodgkin-Huxley conductances, how to run the simulator and how to display the simulation results, building multi-compartmental neurons, using different types of graphs to display the results, how to replicate neurons using templates, add new membrane mechanisms to the simulator and incorporate them into our neurons, increasing simulation speed and ways of getting data out of NEURON.
38 +