tutorial_2_hybrid_nets.rst

Tutorial 2 : Making Hybrid Nets =========

Outline

Example of a hybrid network <example_hybrid_network>

Step 1. Define the types of cells <step_1_define_type_of_cell>

1. We need a class of cells that can supply afferent spikes.

2. We need a "motoneuron" or "M cell" class.

   1. Specifying the anatomical and biophysical properties of the M cell class <step_1_define_type_of_cell>
   2. Specifying what kinds of synapses can be attached to an M cell <step_1_define_type_of_cell2>
   3. Placing synapses on the M cell <step_1_define_type_of_cell3>

Step 2. Create each cell in the network <step_2_create_each_cell>

1. We need a Network Builder
2. We need an instance of each of our three cell types.

Step 3. Connect the cells. <step_3_connect_the_cells>

1. Network architecture
2. Parameters <step_3_connect_the_cells_continued>

Run a simulation and plot the input and output spike trains <run_simulation_plot_input_output2>

example_hybrid_network.rst step_1_define_type_of_cell.rst step_1_define_type_of_cell2.rst step_1_define_type_of_cell3.rst step_2_create_each_cell.rst step_3_connect_the_cells.rst step_3_connect_the_cells_continued.rst run_simulation_plot_input_output2.rst