Summary

• Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

...	...	@@ -153,21 +153,4 @@
153	153	**Level**: advanced(%%) **Type**: user documentation
154	154
155	155	The objectives of this part of the tutorial are to get familiar with basic operations of NEURON using Python. In this worksheet we will: Create a passive cell membrane in NEURON. Create a synaptic stimulus onto the neuron. Modify parameters of the membrane and stimulus. Visualize results with bokeh.
156		-=== [[Reaction-Diffusion – Thresholds>>https://neuron.yale.edu/neuron/docs/reaction-diffusion-thresholds||rel=" noopener noreferrer" target="_blank"]] ===
157	157
158		-**Level**: advanced(%%) **Type**: interactive tutorial
159		-
160		-Learn how to scale reaction rates by a function of the form f(x) for suitably chosen a and m to approximately threshold them by a concentration.
161		-=== [[Randomness in NEURON models>>https://neuron.yale.edu/neuron/docs/randomness-neuron-models||rel=" noopener noreferrer" target="_blank"]] ===
162		-
163		-**Level**: advanced(%%) **Type**: user documentation
164		-
165		-We will touch upon the following subjects in this tutorial:
166		-How to create model specification code that employs randomization to avoid undesired correlations between parameters, and to produce a model cell or network that has the same architecture and biophysical properties, and generates the same simulation results regardless of whether it is run on serial or parallel hardware.
167		-How to generate spike streams or other signals that fluctuate in ways that are statistically independent of each other.
168		-=== [[Using the CellBuilder– Specifying parameterized variation of biophysical properties>>https://neuron.yale.edu/neuron/static/docs/cbtut/parameterized/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
169		-
170		-**Level**: advanced(%%) **Type**: interactive tutorial
171		-
172		-How to make one or more biophysical properties vary systematically with position in space.
173		-