Changes for page Neuron

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

From version 24.1
edited by abonard
on 2025/04/10 15:07
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To version 34.1
edited by abonard
on 2025/04/10 15:07
Change comment: There is no comment for this version

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120 120  
121 121  **Level**: advanced(%%) **Type**: user documentation
122 122  
123 +=== [[Python introduction>>https://neuron.yale.edu/neuron/docs/python-introduction||rel=" noopener noreferrer" target="_blank"]] ===
123 123  
125 +**Level**: advanced(%%) **Type**: user documentation
126 +
127 +This page provides a brief introduction to Python syntax, Variables, Lists and Dicts, For loops and iterators, Functions, Classes, Importing modules, Writing and reading files with Pickling.
128 +=== [[Reaction-Diffusion Example – RxD with MOD files>>https://neuron.yale.edu/neuron/docs/rxd-mod-files||rel=" noopener noreferrer" target="_blank"]] ===
129 +
130 +**Level**: advanced(%%) **Type**: user documentation
131 +
132 +NEURON's reaction-diffusion infrastructure can be used to readily allow intracellular concentrations to respond to currents generated in MOD files. This example shows you a simple model with just a single point soma, of length and diameter 10 microns, with Hodgkin-Huxley kinetics, and dynamic sodium (declared using rxd but without any additional kinetics).
133 +=== [[Segmenting a simulation of a model network - Introduction>>https://neuron.yale.edu/neuron/docs/segmenting-simulation-model-network||rel=" noopener noreferrer" target="_blank"]] ===
134 +
135 +**Level**: advanced(%%) **Type**: user documentation
136 +
137 +=== [[Using the Network Builder – Tutorial 1: Making Networks of Artificial Neurons>>https://neuron.yale.edu/neuron/static/docs/netbuild/artnet/outline.html||rel=" noopener noreferrer" target="_blank"]] ===
138 +
139 +**Level**: advanced(%%) **Type**: interactive tutorial
140 +
141 +Learn how to Artificial Integrate and Fire cell with a synapse that is driven by an afferent burst of spikes.
142 +=== [[Reaction-Diffusion Example – Restricting a reaction to part of a region>>https://neuron.yale.edu/neuron/docs/example-restricting-reaction-part-region||rel=" noopener noreferrer" target="_blank"]] ===
143 +
144 +**Level**: advanced(%%) **Type**: user documentation
145 +
146 +Implementation example for the restriction of the reaction to part of a region.
147 +=== [[Segmenting a simulation of a model cell - Introduction>>https://neuron.yale.edu/neuron/docs/segmenting-simulation-model-cell||rel=" noopener noreferrer" target="_blank"]] ===
148 +
149 +**Level**: advanced(%%) **Type**: user documentation
150 +
151 +=== [[Scripting NEURON basics>>https://neuron.yale.edu/neuron/docs/scripting-neuron-basics||rel=" noopener noreferrer" target="_blank"]] ===
152 +
153 +**Level**: advanced(%%) **Type**: user documentation
154 +
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 +
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 +