| ... | ... | @@ -184,4 +184,49 @@ | 
              
                    | 184 | 184 |  | 
              
                    | 185 | 185 | **Level**: advanced(%%)  **Type**: user documentation | 
              
                    | 186 | 186 |  | 
              
                    |  | 187 | +=== [[Segmenting a simulation of a model cell – 2. Run a "complete" simulation and save its results>>https://neuron.yale.edu/neuron/docs/2-run-complete-simulation-and-save-its-results||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    | 187 | 187 |  | 
              
                    |  | 189 | +**Level**: advanced(%%)  **Type**: user documentation | 
              
                    |  | 190 | + | 
              
                    |  | 191 | +=== [[Segmenting a simulation of a model cell – 1. Implement and test the computational model itself>>https://neuron.yale.edu/neuron/docs/1-implement-and-test-computational-model-itself||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    |  | 192 | + | 
              
                    |  | 193 | +**Level**: advanced(%%)  **Type**: user documentation | 
              
                    |  | 194 | + | 
              
                    |  | 195 | +=== [[Using NEURON's Optimization Tools – Tutorial 2 : Fitting a model to data>>https://neuron.yale.edu/neuron/static/docs/optimiz/model/outline.html||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    |  | 196 | + | 
              
                    |  | 197 | +**Level**: advanced(%%)  **Type**: user documentation | 
              
                    |  | 198 | + | 
              
                    |  | 199 | +We will go over how to create an "unoptimized" model, set up a current clamp experiment on this model, configure a MultipleRunFitter to do a "run fitness" optimization, load the Experimental Data into the iclamp Run Fitness Generator, specify the parameters that will be adjusted and finally perform the optimization. | 
              
                    |  | 200 | +=== [[Reaction-Diffusion – Hodgkin-Huxley using rxd>>https://neuron.yale.edu/neuron/docs/hodgkin-huxley-using-rxd||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    |  | 201 | + | 
              
                    |  | 202 | +**Level**: advanced(%%)  **Type**: interactive tutorial | 
              
                    |  | 203 | + | 
              
                    |  | 204 | +In this tutorial you will learn how to set the proper parameters for the Hodgkin–Huxley model in NEURON. | 
              
                    |  | 205 | +=== [[Using the CellBuilder – Creating a stylised ("stick-figure") model cell>>https://neuron.yale.edu/neuron/static/docs/cbtut/stylized/outline.html||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    |  | 206 | + | 
              
                    |  | 207 | +**Level**: advanced(%%)  **Type**: - | 
              
                    |  | 208 | + | 
              
                    |  | 209 | +Learn how to build an extremely simplified model of a pyramidal cell. | 
              
                    |  | 210 | +=== [[Ball and Stick model part 2>>https://neuron.yale.edu/neuron/docs/ball-and-stick-model-part-2||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    |  | 211 | + | 
              
                    |  | 212 | +**Level**: advanced(%%)  **Type**: user documentation | 
              
                    |  | 213 | + | 
              
                    |  | 214 | +=== [[Reaction-Diffusion Example – Circadian rhythm>>https://neuron.yale.edu/neuron/docs/example-circadian-rhythm||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    |  | 215 | + | 
              
                    |  | 216 | +**Level**: advanced(%%)  **Type**: user documentation | 
              
                    |  | 217 | + | 
              
                    |  | 218 | +Here we develop a NEURON implementation of the Leloup-Goldbeter model for circadian rhythms in Drosophila.  In this example NEURON's h library and its standard run system are being used as well as matplotlib to plot concentrations of circadian proteins over time. | 
              
                    |  | 219 | +=== [[Segmenting a simulation of a model cell – 3. Run a segmented simulation and save its results>>https://neuron.yale.edu/neuron/docs/3-run-segmented-simulation-and-save-its-results||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    |  | 220 | + | 
              
                    |  | 221 | +**Level**: advanced(%%)  **Type**: user documentation | 
              
                    |  | 222 | + | 
              
                    |  | 223 | +=== [[ModelView: Compact display of parameters for NEURON models.>>https://neuron.yale.edu/neuron/static/papers/mview/modelviewhbp2004.html||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    |  | 224 | + | 
              
                    |  | 225 | +**Level**: advanced(%%)  **Type**: user documentation | 
              
                    |  | 226 | + | 
              
                    |  | 227 | +This example demonstrates how ModelView can explore a NEURON model. | 
              
                    |  | 228 | +=== [[Segmenting a simulation of a model network – 3. Run a segmented simulation and save its results>>https://neuron.yale.edu/neuron/docs/3-run-segmented-simulation-and-save-its-results-0||rel=" noopener noreferrer" target="_blank"]] === | 
              
                    |  | 229 | + | 
              
                    |  | 230 | +**Level**: advanced(%%)  **Type**: user documentation | 
              
                    |  | 231 | + | 
              
                    |  | 232 | + |