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    "# Hands-on session 2: Advanced Neo\n",
    "\n",
    "These exercises build on concepts introduced in Tutorial 2\n",
    "\n",
    "## Preparation: Download public ephys dataset\n",
    "On Linux you can download the compiled nix file via the command below. On other systems, please download the file manually from [here](https://gin.g-node.org/NeuralEnsemble/neo_elephant_teaching/raw/master/reach_to_grasp_material/i140703-001.nix) and save it in the same folder as this notebook. This is the same file as already used in Tutorial 2."
   ]
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    "!wget -O reach_to_grasp_material/i140703-001.nix https://gin.g-node.org/NeuralEnsemble/neo_elephant_teaching/raw/master/reach_to_grasp_material/i140703-001.nix"
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    "### SpikeTrain visualization\n",
    "1. Load the data `i140703-001.nix` file using the `neo.io.NixIO` into a neo Block.\n",
    "3. Here we will only investigate data measured between 2 second - 12 seconds of the datasets. Create a new neo Segment that only contains data of that time range.\n",
    "2. Select all SpikeTrains that are marked as single unit activity and have `unit_id` 1. How many of those SpikeTrains exist in the dataset?\n",
    "\n",
    "4. Plot the spike times in a raster plot. Use the `connector_aligned_id` as vertical offset for each Spiketrain avoid overlapping spike markers.\n",
    "5. Add vertical lines to indicate event times labeled as `TS-ON`, `SR`, `OT` and `RW-ON`.\n",
    "\n",
    "### Your solution"
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   "source": [
    "## Bonus Exercise\n",
    "Did you bring your own data? Visualize your own data. Note that it might be useful to load the data in lazy mode to spare your memory."
   ]
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