| ... |
... |
@@ -102,4 +102,9 @@ |
| 102 |
102 |
**Level**: advanced(%%) **Type**: user documentation |
| 103 |
103 |
|
| 104 |
104 |
This tutorial will show you how to record transmembrane currents using arbor.cable_probe_total_current_cell and how to record stimulus currents using arbor.cable_probe_stimulus_current_cell. Later we will be using the arbor.place_pwlin API to map recorded transmembrane currents to extracellular potentials by deriving Arbor specific classes from LFPykit’s lfpykit.LineSourcePotential and lfpykit.CellGeometry. |
|
105 |
+=== [[Simulating optimized cell models in Arbor and cross-validation with Neuron>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/l5pc/l5pc_validate_neuron_arbor.ipynb||rel=" noopener noreferrer" target="_blank"]] === |
| 105 |
105 |
|
|
107 |
+**Level**: advanced(%%) **Type**: interactive tutorial |
|
108 |
+ |
|
109 |
+This notebook demonstrates how to run a simulation of a simple single compartmental cell with fixed/optimized parameters in Arbor. We follow the standard BluePyOpt flow of setting up an electrophysiological experiment and export the cell model to a mixed JSON/ACC-format. We then cross-validate voltage traces obtained with Arbor with those from a Neuron simulation. |
|
110 |
+ |
