lnccbrown · AlexanderFengler · Mar 5, 2025 · Mar 4, 2025 · Mar 4, 2025 · Mar 4, 2025
diff --git a/docs/tutorials/hssm_tutorial_workshop_1.ipynb b/docs/tutorials/hssm_tutorial_workshop_1.ipynb
diff --git a/docs/tutorials/hssm_tutorial_workshop_1/ssm_overview.png b/docs/tutorials/hssm_tutorial_workshop_1/ssm_overview.png
diff --git a/docs/tutorials/hssm_tutorial_workshop_2.ipynb b/docs/tutorials/hssm_tutorial_workshop_2.ipynb
diff --git a/docs/tutorials/hssm_tutorial_workshop_2/Choice Learning.csv b/docs/tutorials/hssm_tutorial_workshop_2/Choice Learning.csv
diff --git a/docs/tutorials/hssm_tutorial_workshop_2/HDDM_results.png b/docs/tutorials/hssm_tutorial_workshop_2/HDDM_results.png
diff --git a/docs/tutorials/hssm_tutorial_workshop_2/Palmer_etal_2024.PNG b/docs/tutorials/hssm_tutorial_workshop_2/Palmer_etal_2024.PNG
diff --git a/docs/tutorials/hssm_tutorial_workshop_2/behavioral_task.png b/docs/tutorials/hssm_tutorial_workshop_2/behavioral_task.png
diff --git a/docs/tutorials/hssm_tutorial_workshop_2/choiceRatios.png b/docs/tutorials/hssm_tutorial_workshop_2/choiceRatios.png
diff --git a/docs/tutorials/hssm_tutorial_workshop_2/ddm_schematic.png b/docs/tutorials/hssm_tutorial_workshop_2/ddm_schematic.png
diff --git a/docs/tutorials/hssm_tutorial_workshop_2/latencies.png b/docs/tutorials/hssm_tutorial_workshop_2/latencies.png
diff --git a/docs/tutorials/tutorial_bayesian_t_test.ipynb b/docs/tutorials/tutorial_bayesian_t_test.ipynb
diff --git a/docs/tutorials/tutorial_model_cartoon.ipynb b/docs/tutorials/tutorial_model_cartoon.ipynb
diff --git a/docs/tutorials/tutorial_stim_coding.ipynb b/docs/tutorials/tutorial_stim_coding.ipynb
diff --git a/docs/tutorials/tutorial_trial_wise_parameters.ipynb b/docs/tutorials/tutorial_trial_wise_parameters.ipynb
diff --git a/mkdocs.yml b/mkdocs.yml
@@ -39,12 +39,19 @@ nav:
       - Plotting in HSSM: tutorials/plotting.ipynb
       - Using lapse probabilities: tutorials/lapse_prob_and_dist.ipynb
       - Variational Inference: tutorials/variational_inference.ipynb
-      - Variational Inference with Hierarchical Models: tutorials/variational_inference_hierarchical.ipynb
+      - Hierarchical Variational Inference: tutorials/variational_inference_hierarchical.ipynb
       - Using HSSM low-level API directly with PyMC: tutorials/pymc.ipynb
       - Custom models: tutorials/jax_callable_contribution_onnx_example.ipynb
       - Custom models from onnx files: tutorials/blackbox_contribution_onnx_example.ipynb
       - Using compiled log-likelihood functions: tutorials/compile_logp.ipynb
       - Saving and loading models: tutorials/save_load_tutorial.ipynb
+      - Bayesian t-test: tutorials/tutorial_bayesian_t_test.ipynb
+      - Model Cartoon Plots: tutorials/tutorial_model_cartoon.ipynb
+      - Getting trial-wise parameters: tutorials/tutorial_trial_wise_parameters.ipynb
+      - Stim Coding: tutorials/tutorial_stim_coding.ipynb
+  - Contributed Tutorials:
+      - Winterbrain 2025 Workshop Talk 1: tutorials/hssm_tutorial_workshop_1.ipynb
+      - Winterbrain 2025 Workshop Talk 2: tutorials/hssm_tutorial_workshop_2.ipynb
   - Contributing: CONTRIBUTING.md
 
 plugins:
@@ -65,6 +72,12 @@ plugins:
         - tutorials/blackbox_contribution_onnx_example.ipynb
         - tutorials/compile_logp.ipynb
         - tutorials/save_load_tutorial.ipynb
+        - tutorials/tutorial_bayesian_t_test.ipynb
+        - tutorials/tutorial_model_cartoon.ipynb
+        - tutorials/tutorial_trial_wise_parameters.ipynb
+        - tutorials/tutorial_stim_coding.ipynb
+        - tutorials/hssm_tutorial_workshop_1.ipynb
+        - tutorials/hssm_tutorial_workshop_2.ipynb
         - .ipynb_checkpoints/*.ipynb
       allow_errors: false
   - mkdocstrings:

diff --git a/pyproject.toml b/pyproject.toml
@@ -66,6 +66,7 @@ notebook = [
 [tool.ruff]
 line-length = 88
 target-version = "py310"
+exclude = ["*.ipynb"]
 
 [tool.ruff.format]
 docstring-code-format = true