Changes for page Neuron

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

From version 114.1
edited by abonard
on 2025/04/10 15:16
Change comment: There is no comment for this version
To version 110.1
edited by abonard
on 2025/04/10 15:16
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -233,23 +233,4 @@
233 233  
234 234  **Level**: advanced(%%) **Type**: user documentation
235 235  
236 -=== [[Using NEURON's Optimization Tools – Tutorial 1 : Fitting a function to data>>https://neuron.yale.edu/neuron/static/docs/optimiz/func/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
237 237  
238 -**Level**: advanced(%%) **Type**: user documentation
239 -
240 -We will look into how to bring up a Multiple Run Fitter, load the Experimental Data into the Multiple Run Fitter, specify the function we want to optimize, specify the parameters that will be adjusted, specify the criteria we want the function to satisfy and finally perform the optimization.
241 -=== [[Ball and Stick model part 4>>https://neuron.yale.edu/neuron/docs/ball-and-stick-model-part-4||rel=" noopener noreferrer" target="_blank"]] ===
242 -
243 -**Level**: advanced(%%) **Type**: user documentation
244 -
245 -=== [[Reaction-Diffusion>>https://neuron.yale.edu/neuron/docs/reaction-diffusion||rel=" noopener noreferrer" target="_blank"]] ===
246 -
247 -**Level**: advanced(%%) **Type**: interactive tutorial
248 -
249 -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?
250 -=== [[Creating a stylized ("stick figure") model cell>>https://neuron.yale.edu/neuron/static/docs/cbtut/stylized/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
251 -
252 -**Level**: advanced(%%) **Type**: user documentation
253 -
254 -Our goal in this tutorial is to build an extremely simplified model of a pyramidal cell using the CellBuilder, a powerful and convenient tool for constructing and managing models of individual neurons. We will be looking into setting up model topology, grouping sections with shared properties into subsets, assigning geometric properties to subsets or individual sections, and specifying a discretization strategy, as well as assigning biophysical properties to subsets or individual sections.
255 -