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           **Level**: advanced(%%)  **Type**: user documentation | 
        
              
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           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. | 
        
              
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          -=== [[Reaction-Diffusion Example – RxD with MOD files>>https://neuron.yale.edu/neuron/docs/rxd-mod-files||rel=" noopener noreferrer" target="_blank"]] === | 
        
              
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          -**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          -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). | 
        
              
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          -=== [[Segmenting a simulation of a model network - Introduction>>https://neuron.yale.edu/neuron/docs/segmenting-simulation-model-network||rel=" noopener noreferrer" target="_blank"]] === | 
        
              
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          -**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          -=== [[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"]] === | 
        
              
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          -**Level**: advanced(%%)  **Type**: interactive tutorial | 
        
              
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          -Learn how to Artificial Integrate and Fire cell with a synapse that is driven by an afferent burst of spikes. | 
        
              
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          -=== [[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"]] === | 
        
              
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          -**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          -Implementation example for the restriction of the reaction to part of a region. | 
        
              
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          -=== [[Segmenting a simulation of a model cell - Introduction>>https://neuron.yale.edu/neuron/docs/segmenting-simulation-model-cell||rel=" noopener noreferrer" target="_blank"]] === | 
        
              
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          -**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          -=== [[Scripting NEURON basics>>https://neuron.yale.edu/neuron/docs/scripting-neuron-basics||rel=" noopener noreferrer" target="_blank"]] === | 
        
              
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          -**Level**: advanced(%%)  **Type**: user documentation | 
        
              
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          -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. | 
        
              
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