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In this tutorial you will learn how to define the types of cells, create each cell in the network and connect the cells (this includes specifying parameters such as delays and weights) . We'll use a pair of biophysical models for M and R, and a NetStim artificial neuron will provide the excitatory drive to M. |
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In the end we will run a simulation and plot the input and output spike trains. |
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+=== [[Reaction-Diffusion Example – mGluR example>>https://neuron.yale.edu/neuron/docs/mglur-example||rel=" noopener noreferrer" target="_blank"]] === |
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+**Level**: advanced(%%) **Type**: user documentation |
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+This examples, will show how to use rxd to handle the kinetics of a mGLUR. |
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