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3.1 | 3 | * ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== ))) |
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24.1 | 5 | * ((( ==== **[[Advanced >>||anchor = "HAdvanced-1"]]** ==== ))) |
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3.1 | 7 | === **Beginner** === |
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3.1 | 9 | === [[Arbor Tutorial Index – from Cells to Networks>>https://docs.arbor-sim.org/en/latest/tutorial/index.html||rel=" noopener noreferrer" target="_blank"]] === |
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3.1 | 11 | **Level**: beginner(%%) **Type**: interactive tutorial |
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23.1 | 13 | === [[A simple single cell model>>https://docs.arbor-sim.org/en/stable/tutorial/single_cell_model.html||rel=" noopener noreferrer" target="_blank"]] === |
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23.1 | 15 | **Level**: beginner(%%) **Type**: user documentation |
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17 | This tutorial will give you an intro into building a morphology from an arbor.segment_tree, region and locset expressions and into decors and cell decorations. | ||
18 | Furthermore will you learn about building an arbor.cable_cell object, arbor.single_cell_model object as well as running a simulation and visualising the results. | ||
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24.1 | 19 | === **Advanced** === |
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24.1 | 21 | === [[GPU and profiling>>https://docs.arbor-sim.org/en/stable/tutorial/network_ring_gpu.html||rel=" noopener noreferrer" target="_blank"]] === |
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23 | **Level**: advanced(%%) **Type**: user documentation | ||
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25 | This tutorial will show you how to build an arbor.context using a GPU. This requires that you have built Arbor with GPU support enabled. Further you will learn to build an arbor.domain_decomposition and provide an arbor.partition_hint. Finally you will profile an Arbor simulation using arbor.meter_manager. | ||
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25.1 | 26 | === [[A single cell model from the Allen Brain Atlas>>https://docs.arbor-sim.org/en/stable/tutorial/single_cell_allen.html||rel=" noopener noreferrer" target="_blank"]] === |
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24.1 | 27 | |
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25.1 | 28 | **Level**: advanced(%%) **Type**: user documentation |
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30 | This tutorial will teach you how to take a model from the Allen Brain Atlas, | ||
31 | load a morphology from an swc file and a parameter fit file and apply it to an arbor.decor. It will further show you how to build an arbor.cable_cell representative of the cell in the model and an arbor.recipe reflective of the cell stimulation in the model. Finally you will be running a simulation and visualising these results. | ||
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