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**Level**: advanced(%%) **Type**: user documentation |
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We will focus on implementing a stochastic differential equation (SDE) in Arbor’s NMODL dialect and examine the mechanism code in the Arbor repository. |
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-=== [[Two cells connected via a gap junction>>https://docs.arbor-sim.org/en/stable/tutorial/network_two_cells_gap_junctions.html||rel=" noopener noreferrer" target="_blank"]] === |
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-**Level**: advanced(%%) **Type**: user documentation |
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-You will be able to learn how to create a simulation recipe for two cells. |
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-How to place probes, run the simulation and extract the results. |
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-Finally you will able to add a gap junction connection. |
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-=== [[Brunel network>>https://docs.arbor-sim.org/en/latest/tutorial/brunel.html||rel=" noopener noreferrer" target="_blank"]] === |
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-**Level**: advanced(%%) **Type**: user documentation |
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-In this tutorial we will follow the description of the ring network to build our recipe. Finally you will be able to build the network, run the simulation, and record the spikes. If interested you can go on to learn how to visualise the raster plot of the entire network and a few selected cells, and the peristimulus time histogram (PSTH) of the entire network. |
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-=== [[Optimisation of a Neocortical Layer 5 Pyramidal Cell in Arbor>>https://github.com/BlueBrain/BluePyOpt/blob/master/examples/l5pc/L5PC_arbor.ipynb||rel=" noopener noreferrer" target="_blank"]] === |
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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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