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**Level**: advanced(%%) **Type**: interactive tutorial |
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This notebook shows you how to optimise the maximal conductance of Neocortical Layer 5 Pyramidal Cell as used in Markram et al. 2015 using Arbor as the simulator. |
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-=== [[Extracellular signals (LFPykit)>>https://docs.arbor-sim.org/en/stable/tutorial/probe_lfpykit.html||rel=" noopener noreferrer" target="_blank"]] === |
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-**Level**: advanced(%%) **Type**: user documentation |
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-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. |
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-=== [[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"]] === |
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-**Level**: advanced(%%) **Type**: interactive tutorial |
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-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. |
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