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TuragaLab · Oct 24, 2024 · 0703e04 · 0703e04
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diff --git a/docs/docs/index.md b/docs/docs/index.md
@@ -55,13 +55,13 @@ A good starting point is also the [pipeline manager](reference/scripts/scripts/p
 
 Try the models and code inside our Google Colab notebooks for a quickstart.
 
-- [Explore the connectome](https://colab.research.google.com/drive/16xi96XS3whNhwMNeFihBNNgADVh60XHH?usp=sharing)
-- [Provide custom stimuli](https://colab.research.google.com/drive/1xBJ-xLgmLGhXgkf8XLw2PRRlDrYQ1Hhv?usp=sharing)
-- [Optic flow task]()
-- [Flash responses]()
-- [Moving edge responses]()
-- [Umap and clustering]()
-- [Maximally excitatory stimuli]()
+- [Explore the connectome](https://colab.research.google.com/github/TuragaLab/flyvis/blob/main/examples/01_flyvision_connectome.ipynb)
+- [Optic flow task](https://colab.research.google.com/github/TuragaLab/flyvis/blob/main/examples/02_flyvision_optic_flow_task.ipynb)
+- [Flash responses](https://colab.research.google.com/github/TuragaLab/flyvis/blob/main/examples/03_flyvision_flash_responses.ipynb)
+- [Moving edge responses](https://colab.research.google.com/github/TuragaLab/flyvis/blob/main/examples/04_flyvision_moving_edge_responses.ipynb)
+- [Umap and clustering](https://colab.research.google.com/github/TuragaLab/flyvis/blob/main/examples/05_flyvision_umap_and_clustering_models.ipynb)
+- [Maximally excitatory stimuli](https://colab.research.google.com/github/TuragaLab/flyvis/blob/main/examples/06_flyvision_maximally_excitatory_stimuli.ipynb)
+- [Provide custom stimuli](https://colab.research.google.com/github/TuragaLab/flyvis/blob/main/examples/07_flyvision_providing_custom_stimuli.ipynb)
 
 ### Local Installation
 

diff --git a/docs/docs/reference/utils.md b/docs/docs/reference/utils.md
@@ -236,9 +236,6 @@
     options:
       heading_level: 4
 
-::: flyvision.utils.dataset_utils.download_sintel
-    options:
-      heading_level: 4
 
 ::: flyvision.utils.dataset_utils.get_random_data_split
     options:

diff --git a/flyvision/connectome/connectome.py b/flyvision/connectome/connectome.py
@@ -1353,10 +1353,10 @@ def _projective_fields_edge_dfs(
 
 
 def get_avgfilt_connectome(config: dict) -> ConnectomeView:
-    """Create a ConnectomeView instance from a network directory.
+    """Create a ConnectomeView instance from a config for ConnectomeFromAvgFilters.
 
     Args:
-        network_dir: Directory containing network configuration.
+        config: Containing ConnectomeFromAvgFilters configuration.
 
     Returns:
         ConnectomeView instance.