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Changes for page Neuron

Last modified by abonard on 2025/09/16 10:47
From version 33.1
edited by abonard
on 2025/04/10 15:07
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To version 150.1
edited by abonard
on 2025/05/23 13:20
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130 130  **Level**: advanced(%%) **Type**: user documentation
131 131  
132 132  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"]] ===
134 134  
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 -